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BT 34.016 1117.011 Td /F1 24.0 Tf [(Approximating Integrals Via Monte Carlo And Deterministic Methods)] TJ ET
BT 34.016 1071.349 Td /F1 12.0 Tf [(Thank you certainly much for downloading )] TJ ET
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BT 34.016 954.385 Td /F1 12.0 Tf [(compatible taking into account any devices to read.)] TJ ET
BT 34.016 901.333 Td /F1 12.0 Tf [(Computation of Multivariate Normal and t Probabilities)] TJ ET
BT 320.780 901.333 Td /F1 12.0 Tf [( Alan Genz 2009-07-09 Multivariate normal and t probabilities are needed for statistical )] TJ ET
BT 34.016 886.681 Td /F1 12.0 Tf [(inference in many applications. Modern statistical computation packages provide functions for the computation of these probabilities for problems )] TJ ET
BT 34.016 872.029 Td /F1 12.0 Tf [(with one or two variables. This book describes recently developed methods for accurate and efficient computation of the required probability )] TJ ET
BT 34.016 857.377 Td /F1 12.0 Tf [(values for problems with two or more variables. The book discusses methods for specialized problems as well as methods for general problems. )] TJ ET
BT 34.016 842.725 Td /F1 12.0 Tf [(The book includes examples that illustrate the probability computations for a variety of applications.)] TJ ET
BT 34.016 828.073 Td /F1 12.0 Tf [(Bayesian Missing Data Problems)] TJ ET
BT 210.068 828.073 Td /F1 12.0 Tf [( Ming T. Tan 2009-08-26 Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative )] TJ ET
BT 34.016 813.421 Td /F1 12.0 Tf [(Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The )] TJ ET
BT 34.016 798.769 Td /F1 12.0 Tf [(methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-)] TJ ET
BT 34.016 784.117 Td /F1 12.0 Tf [(world problems, the authors focus on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative )] TJ ET
BT 34.016 769.465 Td /F1 12.0 Tf [(sampling approach via EM-type algorithms. After introducing the missing data problems, Bayesian approach, and posterior computation, the )] TJ ET
BT 34.016 754.813 Td /F1 12.0 Tf [(book succinctly describes EM-type algorithms, Monte Carlo simulation, numerical techniques, and optimization methods. It then gives exact )] TJ ET
BT 34.016 740.161 Td /F1 12.0 Tf [(posterior solutions for problems, such as nonresponses in surveys and cross-over trials with missing values. It also provides noniterative )] TJ ET
BT 34.016 725.509 Td /F1 12.0 Tf [(posterior sampling solutions for problems, such as contingency tables with supplemental margins, aggregated responses in surveys, zero-)] TJ ET
BT 34.016 710.857 Td /F1 12.0 Tf [(inflated Poisson, capture-recapture models, mixed effects models, right-censored regression model, and constrained parameter models. The text )] TJ ET
BT 34.016 696.205 Td /F1 12.0 Tf [(concludes with a discussion on compatibility, a fundamental issue in Bayesian inference. This book offers a unified treatment of an array of )] TJ ET
BT 34.016 681.553 Td /F1 12.0 Tf [(statistical problems that involve missing data and constrained parameters. It shows how Bayesian procedures can be useful in solving these )] TJ ET
BT 34.016 666.901 Td /F1 12.0 Tf [(problems.)] TJ ET
BT 34.016 652.249 Td /F1 12.0 Tf [(Data Analysis from Statistical Foundations)] TJ ET
BT 258.764 652.249 Td /F1 12.0 Tf [( Donald Alexander Stuart Fraser 2001 Data Analysis from Statistical Foundations)] TJ ET
BT 34.016 637.597 Td /F1 12.0 Tf [(Stochastic Analysis 2010)] TJ ET
0.000 0.000 0.000 RG
0.24 w 0 J [ ] 0 d
34.016 635.617 m 167.408 635.617 l S
BT 167.408 637.597 Td /F1 12.0 Tf [( Dan Crisan 2010-11-26 Stochastic Analysis aims to provide mathematical tools to describe and model high )] TJ ET
BT 34.016 622.945 Td /F1 12.0 Tf [(dimensional random systems. Such tools arise in the study of Stochastic Differential Equations and Stochastic Partial Differential Equations, )] TJ ET
BT 34.016 608.293 Td /F1 12.0 Tf [(Infinite Dimensional Stochastic Geometry, Random Media and Interacting Particle Systems, Super-processes, Stochastic Filtering, Mathematical )] TJ ET
BT 34.016 593.641 Td /F1 12.0 Tf [(Finance, etc. Stochastic Analysis has emerged as a core area of late 20th century Mathematics and is currently undergoing a rapid scientific )] TJ ET
BT 34.016 578.989 Td /F1 12.0 Tf [(development. The special volume “Stochastic Analysis 2010” provides a sample of the current research in the different branches of the subject. It )] TJ ET
BT 34.016 564.337 Td /F1 12.0 Tf [(includes the collected works of the participants at the Stochastic Analysis section of the 7th ISAAC Congress organized at Imperial College )] TJ ET
BT 34.016 549.685 Td /F1 12.0 Tf [(London in July 2009.)] TJ ET
BT 34.016 535.033 Td /F1 12.0 Tf [(Monte Carlo Methods and Models in Finance and Insurance)] TJ ET
BT 352.160 535.033 Td /F1 12.0 Tf [( Ralf Korn 2010-02-26 Offering a unique balance between applications and )] TJ ET
BT 34.016 520.381 Td /F1 12.0 Tf [(calculations, Monte Carlo Methods and Models in Finance and Insurance incorporates the application background of finance and insurance with )] TJ ET
BT 34.016 505.729 Td /F1 12.0 Tf [(the theory and applications of Monte Carlo methods. It presents recent methods and algorithms, including the multilevel Monte Carlo method, the )] TJ ET
BT 34.016 491.077 Td /F1 12.0 Tf [(statistical Romberg method, and the Heath–Platen estimator, as well as recent financial and actuarial models, such as the Cheyette and dynamic )] TJ ET
BT 34.016 476.425 Td /F1 12.0 Tf [(mortality models. The authors separately discuss Monte Carlo techniques, stochastic process basics, and the theoretical background and )] TJ ET
BT 34.016 461.773 Td /F1 12.0 Tf [(intuition behind financial and actuarial mathematics, before bringing the topics together to apply the Monte Carlo methods to areas of finance and )] TJ ET
BT 34.016 447.121 Td /F1 12.0 Tf [(insurance. This allows for the easy identification of standard Monte Carlo tools and for a detailed focus on the main principles of financial and )] TJ ET
BT 34.016 432.469 Td /F1 12.0 Tf [(insurance mathematics. The book describes high-level Monte Carlo methods for standard simulation and the simulation of stochastic processes )] TJ ET
BT 34.016 417.817 Td /F1 12.0 Tf [(with continuous and discontinuous paths. It also covers a wide selection of popular models in finance and insurance, from Black–Scholes to )] TJ ET
BT 34.016 403.165 Td /F1 12.0 Tf [(stochastic volatility to interest rate to dynamic mortality. Through its many numerical and graphical illustrations and simple, insightful examples, )] TJ ET
BT 34.016 388.513 Td /F1 12.0 Tf [(this book provides a deep understanding of the scope of Monte Carlo methods and their use in various financial situations. The intuitive )] TJ ET
BT 34.016 373.861 Td /F1 12.0 Tf [(presentation encourages readers to implement and further develop the simulation methods.)] TJ ET
BT 34.016 359.209 Td /F1 12.0 Tf [(Calibration of Watershed Models)] TJ ET
BT 208.076 359.209 Td /F1 12.0 Tf [( Qingyun Duan 2003-01-10 Published by the American Geophysical Union as part of the Water Science and )] TJ ET
BT 34.016 344.557 Td /F1 12.0 Tf [(Application Series, Volume 6. During the past four decades, computer-based mathematical models of watershed hydrology have been widely )] TJ ET
BT 34.016 329.905 Td /F1 12.0 Tf [(used for a variety of applications including hydrologic forecasting, hydrologic design, and water resources management. These models are based )] TJ ET
BT 34.016 315.253 Td /F1 12.0 Tf [(on general mathematical descriptions of the watershed processes that transform natural forcing \(e.g., rainfall over the landscape\) into response )] TJ ET
BT 34.016 300.601 Td /F1 12.0 Tf [(\(e.g., runoff in the rivers\). The user of a watershed hydrology model must specify the model parameters before the model is able to properly )] TJ ET
BT 34.016 285.949 Td /F1 12.0 Tf [(simulate the watershed behavior.)] TJ ET
BT 34.016 271.297 Td /F1 12.0 Tf [(Statistics in Action)] TJ ET
BT 131.384 271.297 Td /F1 12.0 Tf [( Jerald F. Lawless 2014-03-03 Commissioned by the Statistical Society of Canada \(SSC\), Statistics in Action: A Canadian )] TJ ET
BT 34.016 256.645 Td /F1 12.0 Tf [(Outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which )] TJ ET
BT 34.016 241.993 Td /F1 12.0 Tf [(statistics is used while highlighting key contributions that Canadian statisticians are making to science, technology, business, government, and )] TJ ET
BT 34.016 227.341 Td /F1 12.0 Tf [(other areas. The book emphasizes the role and impact of computing in statistical modeling and analysis, including the issues involved with the )] TJ ET
BT 34.016 212.689 Td /F1 12.0 Tf [(huge amounts of data being generated by automated processes. The first two chapters review the development of statistics as a discipline in )] TJ ET
BT 34.016 198.037 Td /F1 12.0 Tf [(Canada and describe some major contributions to survey methodology made by Statistics Canada, one of the world’s premier official statistics )] TJ ET
BT 34.016 183.385 Td /F1 12.0 Tf [(agencies. The book next discusses how statistical methodologies, such as functional data analysis and the Metropolis algorithm, are applied in a )] TJ ET
BT 34.016 168.733 Td /F1 12.0 Tf [(wide variety of fields, including risk management and genetics. It then focuses on the application of statistical methods in medicine and public )] TJ ET
BT 34.016 154.081 Td /F1 12.0 Tf [(health as well as finance and e-commerce. The remainder of the book addresses how statistics is used to study critical scientific areas, including )] TJ ET
BT 34.016 139.429 Td /F1 12.0 Tf [(difficult-to-access populations, endangered species, climate change, and agricultural forecasts. About the SSC Founded in Montréal in 1972, the )] TJ ET
BT 34.016 124.777 Td /F1 12.0 Tf [(SSC is the main professional organization for statisticians and related professionals in Canada. Its mission is to promote the use and )] TJ ET
BT 34.016 110.125 Td /F1 12.0 Tf [(development of statistics and probability. The SSC publishes the bilingual quarterly newsletter SSC Liaison and the peer-reviewed scientific )] TJ ET
BT 34.016 95.473 Td /F1 12.0 Tf [(journal The Canadian Journal of Statistics. More information can be found at www.ssc.ca.)] TJ ET
BT 34.016 80.821 Td /F1 12.0 Tf [(Numerical Methods for Nonlinear Estimating Equations)] TJ ET
BT 325.448 80.821 Td /F1 12.0 Tf [( Christopher G. Small 2003 This book provides a comprehensive study of nonlinear )] TJ ET
BT 34.016 66.169 Td /F1 12.0 Tf [(estimating equations and artificial likelihoods for statistical inference. It includes a variety of examples from practical applications and is ideal for )] TJ ET
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BT 34.016 1144.813 Td /F1 12.0 Tf [(research statisticians and advanced graduate students.)] TJ ET
BT 34.016 1130.161 Td /F1 12.0 Tf [(Random Number Generation and Monte Carlo Methods)] TJ ET
BT 329.468 1130.161 Td /F1 12.0 Tf [( James E. Gentle 2006-04-18 Monte Carlo simulation has become one of the most )] TJ ET
BT 34.016 1115.509 Td /F1 12.0 Tf [(important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These )] TJ ET
BT 34.016 1100.857 Td /F1 12.0 Tf [("pseudorandom" numbers must pass statistical tests just as random samples would. Methods for producing pseudorandom numbers and )] TJ ET
BT 34.016 1086.205 Td /F1 12.0 Tf [(transforming those numbers to simulate samples from various distributions are among the most important topics in statistical computing. This )] TJ ET
BT 34.016 1071.553 Td /F1 12.0 Tf [(book surveys techniques of random number generation and the use of random numbers in Monte Carlo simulation. The book covers basic )] TJ ET
BT 34.016 1056.901 Td /F1 12.0 Tf [(principles, as well as newer methods such as parallel random number generation, nonlinear congruential generators, quasi Monte Carlo )] TJ ET
BT 34.016 1042.249 Td /F1 12.0 Tf [(methods, and Markov chain Monte Carlo. The best methods for generating random variates from the standard distributions are presented, but )] TJ ET
BT 34.016 1027.597 Td /F1 12.0 Tf [(also general techniques useful in more complicated models and in novel settings are described. The emphasis throughout the book is on )] TJ ET
BT 34.016 1012.945 Td /F1 12.0 Tf [(practical methods that work well in current computing environments. The book includes exercises and can be used as a test or supplementary )] TJ ET
BT 34.016 998.293 Td /F1 12.0 Tf [(text for various courses in modern statistics. It could serve as the primary test for a specialized course in statistical computing, or as a )] TJ ET
BT 34.016 983.641 Td /F1 12.0 Tf [(supplementary text for a course in computational statistics and other areas of modern statistics that rely on simulation. The book, which covers )] TJ ET
BT 34.016 968.989 Td /F1 12.0 Tf [(recent developments in the field, could also serve as a useful reference for practitioners. Although some familiarity with probability and statistics )] TJ ET
BT 34.016 954.337 Td /F1 12.0 Tf [(is assumed, the book is accessible to a broad audience. The second edition is approximately 50% longer than the first edition. It includes )] TJ ET
BT 34.016 939.685 Td /F1 12.0 Tf [(advances in methods for parallel random number generation, universal methods for generation of nonuniform variates, perfect sampling, and )] TJ ET
BT 34.016 925.033 Td /F1 12.0 Tf [(software for random number generation.)] TJ ET
BT 34.016 910.381 Td /F1 12.0 Tf [(Bayesian Estimation and Tracking)] TJ ET
BT 215.420 910.381 Td /F1 12.0 Tf [( Anton J. Haug 2012-05-29 A practical approach to estimating and tracking dynamicsystems in real-worl )] TJ ET
BT 34.016 895.729 Td /F1 12.0 Tf [(applications Much of the literature on performing estimation for non-Gaussiansystems is short on practical methodology, while Gaussian )] TJ ET
BT 34.016 881.077 Td /F1 12.0 Tf [(methodsoften lack a cohesive derivation. Bayesian Estimation andTracking addresses the gap in the field on both accounts,providing readers )] TJ ET
BT 34.016 866.425 Td /F1 12.0 Tf [(with a comprehensive overview of methods forestimating both linear and nonlinear dynamic systems driven byGaussian and non-Gaussian )] TJ ET
BT 34.016 851.773 Td /F1 12.0 Tf [(noices. Featuring a unified approach to Bayesian estimation andtracking, the book emphasizes the derivation of all trackingalgorithms within a )] TJ ET
BT 34.016 837.121 Td /F1 12.0 Tf [(Bayesian framework and describes effectivenumerical methods for evaluating density-weighted integrals,including linear and nonlinear Kalman )] TJ ET
BT 34.016 822.469 Td /F1 12.0 Tf [(filters for Gaussian-weightedintegrals and particle filters for non-Gaussian cases. The authorfirst emphasizes detailed derivations from first )] TJ ET
BT 34.016 807.817 Td /F1 12.0 Tf [(principles ofeeach estimation method and goes on to use illustrative anddetailed step-by-step instructions for each method that makescoding of )] TJ ET
BT 34.016 793.165 Td /F1 12.0 Tf [(the tracking filter simple and easy to understand. Case studies are employed to showcase applications of thediscussed topics. In addition, the )] TJ ET
BT 34.016 778.513 Td /F1 12.0 Tf [(book supplies block diagrams foreach algorithm, allowing readers to develop their own MATLAB®toolbox of estimation methods. Bayesian )] TJ ET
BT 34.016 763.861 Td /F1 12.0 Tf [(Estimation and Tracking is an excellent book forcourses on estimation and tracking methods at the graduate level.The book also serves as a )] TJ ET
BT 34.016 749.209 Td /F1 12.0 Tf [(valuable reference for researchscientists, mathematicians, and engineers seeking a deeperunderstanding of the topics.)] TJ ET
BT 34.016 734.557 Td /F1 12.0 Tf [(Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 732.577 m 597.560 732.577 l S
BT 597.560 734.557 Td /F1 12.0 Tf [( Eliane Regina Rodrigues 2012-09-02 )] TJ ET
BT 34.016 719.905 Td /F1 12.0 Tf [(?In this brief we consider some stochastic models that may be used to study problems related to environmental matters, in particular, air )] TJ ET
BT 34.016 705.253 Td /F1 12.0 Tf [(pollution. The impact of exposure to air pollutants on people's health is a very clear and well documented subject. Therefore, it is very important )] TJ ET
BT 34.016 690.601 Td /F1 12.0 Tf [(to obtain ways to predict or explain the behaviour of pollutants in general. Depending on the type of question that one is interested in answering, )] TJ ET
BT 34.016 675.949 Td /F1 12.0 Tf [(there are several of ways studying that problem. Among them we may quote, analysis of the time series of the pollutants' measurements, )] TJ ET
BT 34.016 661.297 Td /F1 12.0 Tf [(analysis of the information obtained directly from the data, for instance, daily, weekly or monthly averages and standard deviations. Another way )] TJ ET
BT 34.016 646.645 Td /F1 12.0 Tf [(to study the behaviour of pollutants in general is through mathematical models. In the mathematical framework we may have for instance )] TJ ET
BT 34.016 631.993 Td /F1 12.0 Tf [(deterministic or stochastic models. The type of models that we are going to consider in this brief are the stochastic ones.?)] TJ ET
BT 34.016 617.341 Td /F1 12.0 Tf [(Monte Carlo and Quasi-Monte Carlo Methods 2012)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 615.361 m 306.128 615.361 l S
BT 306.128 617.341 Td /F1 12.0 Tf [( Josef Dick 2013-12-05 This book represents the refereed proceedings of the Tenth )] TJ ET
BT 34.016 602.689 Td /F1 12.0 Tf [(International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South )] TJ ET
BT 34.016 588.037 Td /F1 12.0 Tf [(Wales \(Australia\) in February 2012. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte Carlo )] TJ ET
BT 34.016 573.385 Td /F1 12.0 Tf [(research. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects )] TJ ET
BT 34.016 558.733 Td /F1 12.0 Tf [(and applications of Monte Carlo and quasi-Monte Carlo methods. The reader will be provided with information on latest developments in these )] TJ ET
BT 34.016 544.081 Td /F1 12.0 Tf [(very active areas. The book is an excellent reference for theoreticians and practitioners interested in solving high-dimensional computational )] TJ ET
BT 34.016 529.429 Td /F1 12.0 Tf [(problems arising, in particular, in finance, statistics and computer graphics.)] TJ ET
BT 34.016 514.777 Td /F1 12.0 Tf [(Current Air Quality Issues)] TJ ET
BT 170.720 514.777 Td /F1 12.0 Tf [( Farhad Nejadkoorki 2015-10-21 Air pollution is thus far one of the key environmental issues in urban areas. )] TJ ET
BT 34.016 500.125 Td /F1 12.0 Tf [(Comprehensive air quality plans are required to manage air pollution for a particular area. Consequently, air should be continuously sampled, )] TJ ET
BT 34.016 485.473 Td /F1 12.0 Tf [(monitored, and modeled to examine different action plans. Reviews and research papers describe air pollution in five main contexts: Monitoring, )] TJ ET
BT 34.016 470.821 Td /F1 12.0 Tf [(Modeling, Risk Assessment, Health, and Indoor Air Pollution. The book is recommended to experts interested in health and air pollution issues.)] TJ ET
BT 34.016 456.169 Td /F1 12.0 Tf [(Dirichlet and Related Distributions)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 454.189 m 214.736 454.189 l S
BT 214.736 456.169 Td /F1 12.0 Tf [( Kai Wang Ng 2011-05-03 The Dirichlet distribution appears in many areas of application, which include )] TJ ET
BT 34.016 441.517 Td /F1 12.0 Tf [(modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive )] TJ ET
BT 34.016 426.865 Td /F1 12.0 Tf [(review of the Dirichlet distribution and two extended versions, the Grouped Dirichlet Distribution \(GDD\) and the Nested Dirichlet Distribution )] TJ ET
BT 34.016 412.213 Td /F1 12.0 Tf [(\(NDD\), arising from likelihood and Bayesian analysis of incomplete categorical data and survey data with non-response. The theoretical )] TJ ET
BT 34.016 397.561 Td /F1 12.0 Tf [(properties and applications are also reviewed in detail for other related distributions, such as the inverted Dirichlet distribution, Dirichlet-)] TJ ET
BT 34.016 382.909 Td /F1 12.0 Tf [(multinomial distribution, the truncated Dirichlet distribution, the generalized Dirichlet distribution, Hyper-Dirichlet distribution, scaled Dirichlet )] TJ ET
BT 34.016 368.257 Td /F1 12.0 Tf [(distribution, mixed Dirichlet distribution, Liouville distribution, and the generalized Liouville distribution. Key Features: Presents many of the )] TJ ET
BT 34.016 353.605 Td /F1 12.0 Tf [(results and applications that are scattered throughout the literature in one single volume. Looks at the most recent results such as survival )] TJ ET
BT 34.016 338.953 Td /F1 12.0 Tf [(function and characteristic function for the uniform distributions over the hyper-plane and simplex; distribution for linear function of Dirichlet )] TJ ET
BT 34.016 324.301 Td /F1 12.0 Tf [(components; estimation via the expectation-maximization gradient algorithm and application; etc. Likelihood and Bayesian analyses of )] TJ ET
BT 34.016 309.649 Td /F1 12.0 Tf [(incomplete categorical data by using GDD, NDD, and the generalized Dirichlet distribution are illustrated in detail through the EM algorithm and )] TJ ET
BT 34.016 294.997 Td /F1 12.0 Tf [(data augmentation structure. Presents a systematic exposition of the Dirichlet-multinomial distribution for multinomial data with extra variation )] TJ ET
BT 34.016 280.345 Td /F1 12.0 Tf [(which cannot be handled by the multinomial distribution. S-plus/R codes are featured along with practical examples illustrating the methods. )] TJ ET
BT 34.016 265.693 Td /F1 12.0 Tf [(Practitioners and researchers working in areas such as medical science, biological science and social science will benefit from this book.)] TJ ET
BT 34.016 251.041 Td /F1 12.0 Tf [(Statistical Computing with R)] TJ ET
BT 183.392 251.041 Td /F1 12.0 Tf [( Maria L. Rizzo 2007-11-15 Computational statistics and statistical computing are two areas that employ )] TJ ET
BT 34.016 236.389 Td /F1 12.0 Tf [(computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing )] TJ ET
BT 34.016 221.737 Td /F1 12.0 Tf [(environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditional core material )] TJ ET
BT 34.016 207.085 Td /F1 12.0 Tf [(of computational statistics, with an emphasis on using the R language via an examples-based approach. Suitable for an introductory course in )] TJ ET
BT 34.016 192.433 Td /F1 12.0 Tf [(computational statistics or for self-study, it includes R code for all examples and R notes to help explain the R programming concepts. After an )] TJ ET
BT 34.016 177.781 Td /F1 12.0 Tf [(overview of computational statistics and an introduction to the R computing environment, the book reviews some basic concepts in probability )] TJ ET
BT 34.016 163.129 Td /F1 12.0 Tf [(and classical statistical inference. Each subsequent chapter explores a specific topic in computational statistics. These chapters cover the )] TJ ET
BT 34.016 148.477 Td /F1 12.0 Tf [(simulation of random variables from probability distributions, the visualization of multivariate data, Monte Carlo integration and variance reduction )] TJ ET
BT 34.016 133.825 Td /F1 12.0 Tf [(methods, Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo \(MCMC\) methods, and )] TJ ET
BT 34.016 119.173 Td /F1 12.0 Tf [(density estimation. The final chapter presents a selection of examples that illustrate the application of numerical methods using R functions. )] TJ ET
BT 34.016 104.521 Td /F1 12.0 Tf [(Focusing on implementation rather than theory, this text serves as a balanced, accessible introduction to computational statistics and statistical )] TJ ET
BT 34.016 89.869 Td /F1 12.0 Tf [(computing.)] TJ ET
BT 34.016 75.217 Td /F1 12.0 Tf [(Towards Dependable Robotic Perception)] TJ ET
BT 252.776 75.217 Td /F1 12.0 Tf [( 2011 Reliable perception is required in order for robots to operate safely in unpredictable and complex )] TJ ET
BT 34.016 60.565 Td /F1 12.0 Tf [(human environments. However, reliability of perceptual inference algorithms has been poorly studied so far. These algorithms capture uncertain )] TJ ET
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BT 34.016 1144.813 Td /F1 12.0 Tf [(knowledge about the world in the form of probabilistic belief distributions. A number of Monte Carlo and deterministic approaches have been )] TJ ET
BT 34.016 1130.161 Td /F1 12.0 Tf [(developed, but their efficiency depends on the degree of smoothness of the beliefs. In the real world, the smoothness assumption often fails, )] TJ ET
BT 34.016 1115.509 Td /F1 12.0 Tf [(leading to unreliable perceptual inference results. Motivated by concrete robotics problems, we propose two novel perceptual inference )] TJ ET
BT 34.016 1100.857 Td /F1 12.0 Tf [(algorithms that explicitly consider local non-smoothness of beliefs and adapt to it. Both of these algorithms fall into the category of iterative divide-)] TJ ET
BT 34.016 1086.205 Td /F1 12.0 Tf [(and-conquer methods and hence scale logarithmically with desired accuracy. The first algorithm is termed Scaling Series. It is an iterative Monte )] TJ ET
BT 34.016 1071.553 Td /F1 12.0 Tf [(Carlo technique coupled with annealing. Local non-smoothness is accounted for by sampling strategy and by annealing schedule. The second )] TJ ET
BT 34.016 1056.901 Td /F1 12.0 Tf [(algorithm is termed GRAB, which stands for Guaranteed Recursive Adaptive Bounding. GRAB is an iterative adaptive grid algorithm, which relies )] TJ ET
BT 34.016 1042.249 Td /F1 12.0 Tf [(on bounds. In this case, local non-smoothness is captured in terms of local bounds and grid resolution. Scaling Series works well for beliefs with )] TJ ET
BT 34.016 1027.597 Td /F1 12.0 Tf [(sharp transitions, but without many discontinuities. GRAB is most appropriate for beliefs with many discontinuities. Both of these algorithms far )] TJ ET
BT 34.016 1012.945 Td /F1 12.0 Tf [(outperform the prior art in terms of reliability, efficiency, and accuracy. GRAB is also able to guarantee that a quality approximation of the belief is )] TJ ET
BT 34.016 998.293 Td /F1 12.0 Tf [(produced. The proposed algorithms are evaluated on a diverse set of real robotics problems: tactile perception, autonomous driving, and mobile )] TJ ET
BT 34.016 983.641 Td /F1 12.0 Tf [(manipulation. In tactile perception, we localize objects in 3D starting with very high initial uncertainty and estimating all 6 degrees of freedom. The )] TJ ET
BT 34.016 968.989 Td /F1 12.0 Tf [(localization is performed based on tactile sensory data. Using Scaling Series, we obtain highly accurate and reliable results in under 1 second. )] TJ ET
BT 34.016 954.337 Td /F1 12.0 Tf [(Improved tactile object localization contributes to manufacturing applications, where tactile perception is widely used for workpiece localization. It )] TJ ET
BT 34.016 939.685 Td /F1 12.0 Tf [(also enables robotic applications in situations where vision can be obstructed, such as rescue robotics and underwater robotics. In autonomous )] TJ ET
BT 34.016 925.033 Td /F1 12.0 Tf [(driving, we detect and track vehicles in the vicinity of the robot based on 2D and 3D laser range finders. In addition to estimating position and )] TJ ET
BT 34.016 910.381 Td /F1 12.0 Tf [(velocity of vehicles, we also model and estimate their geometric shape. The geometric model leads to highly accurate estimates of pose and )] TJ ET
BT 34.016 895.729 Td /F1 12.0 Tf [(velocity for each vehicle. It also greatly simplifies association of data, which are often split up into separate clusters due to occlusion. The )] TJ ET
BT 34.016 881.077 Td /F1 12.0 Tf [(proposed Scaling Series algorithm greatly improves reliability and ensures that the problem is solved within tight real time constraints of )] TJ ET
BT 34.016 866.425 Td /F1 12.0 Tf [(autonomous driving. In mobile manipulation, we achieve highly accurate robot localization based on commonly used 2D laser range finders using )] TJ ET
BT 34.016 851.773 Td /F1 12.0 Tf [(the GRAB algorithm. We show that the high accuracy allows robots to navigate in tight spaces and manipulate objects without having to sense )] TJ ET
BT 34.016 837.121 Td /F1 12.0 Tf [(them directly. We demonstrate our approach on the example of simultaneous building navigation, door handle manipulation, and door opening. )] TJ ET
BT 34.016 822.469 Td /F1 12.0 Tf [(We also propose hybrid environment models, which combine high resolution polygons for objects of interest with low resolution occupancy grid )] TJ ET
BT 34.016 807.817 Td /F1 12.0 Tf [(representations for the rest of the environment. High accuracy indoor localization contributes directly to home/office mobile robotics as well as to )] TJ ET
BT 34.016 793.165 Td /F1 12.0 Tf [(future robotics applications in construction, inspection, and maintenance of buildings. Based on the success of the proposed perceptual inference )] TJ ET
BT 34.016 778.513 Td /F1 12.0 Tf [(algorithms in the concrete robotics problems, it is our hope that this thesis will serve as a starting point for further development of highly reliable)] TJ ET
BT 34.016 763.861 Td /F1 12.0 Tf [(Generalized Latent Variable Modeling)] TJ ET
BT 234.776 763.861 Td /F1 12.0 Tf [( Anders Skrondal 2004-05-11 This book unifies and extends latent variable models, including multilevel or )] TJ ET
BT 34.016 749.209 Td /F1 12.0 Tf [(generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and )] TJ ET
BT 34.016 734.557 Td /F1 12.0 Tf [(structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wi)] TJ ET
BT 34.016 719.905 Td /F1 12.0 Tf [(Computational Statistics)] TJ ET
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BT 162.728 719.905 Td /F1 12.0 Tf [( Geof H. Givens 2012-11-06 This new edition continues to serve as a comprehensive guide to modern and classical )] TJ ET
BT 34.016 705.253 Td /F1 12.0 Tf [(methods of statistical computing. The book is comprised of four main parts spanning the field: Optimization Integration and Simulation )] TJ ET
BT 34.016 690.601 Td /F1 12.0 Tf [(Bootstrapping Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step )] TJ ET
BT 34.016 675.949 Td /F1 12.0 Tf [(implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as )] TJ ET
BT 34.016 661.297 Td /F1 12.0 Tf [(well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the )] TJ ET
BT 34.016 646.645 Td /F1 12.0 Tf [(entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.)] TJ ET
BT 34.016 631.993 Td /F1 12.0 Tf [(Approximating Integrals via Monte Carlo and Deterministic Methods)] TJ ET
BT 392.804 631.993 Td /F1 12.0 Tf [( Michael Evans 2000-03-23 This book is designed to introduce graduate )] TJ ET
BT 34.016 617.341 Td /F1 12.0 Tf [(students and researchers to the primary methods useful for approximating integrals. The emphasis is on those methods that have been found to )] TJ ET
BT 34.016 602.689 Td /F1 12.0 Tf [(be of practical use, and although the focus is on approximating higher- dimensional integrals the lower-dimensional case is also covered. )] TJ ET
BT 34.016 588.037 Td /F1 12.0 Tf [(Included in the book are asymptotic techniques, multiple quadrature and quasi-random techniques as well as a complete development of Monte )] TJ ET
BT 34.016 573.385 Td /F1 12.0 Tf [(Carlo algorithms. For the Monte Carlo section importance sampling methods, variance reduction techniques and the primary Markov Chain )] TJ ET
BT 34.016 558.733 Td /F1 12.0 Tf [(Monte Carlo algorithms are covered. This book brings these various techniques together for the first time, and hence provides an accessible )] TJ ET
BT 34.016 544.081 Td /F1 12.0 Tf [(textbook and reference for researchers in a wide variety of disciplines.)] TJ ET
BT 34.016 529.429 Td /F1 12.0 Tf [(Multistability in Physical and Living Systems)] TJ ET
BT 267.416 529.429 Td /F1 12.0 Tf [( Alexander N. Pisarchik )] TJ ET
BT 34.016 514.777 Td /F1 12.0 Tf [(Elements of Distribution Theory)] TJ ET
BT 201.404 514.777 Td /F1 12.0 Tf [( Thomas A. Severini 2005-08-08 This detailed introduction to distribution theory uses no measure theory, making )] TJ ET
BT 34.016 500.125 Td /F1 12.0 Tf [(it suitable for students in statistics and econometrics as well as for researchers who use statistical methods. Good backgrounds in calculus and )] TJ ET
BT 34.016 485.473 Td /F1 12.0 Tf [(linear algebra are important and a course in elementary mathematical analysis is useful, but not required. An appendix gives a detailed summary )] TJ ET
BT 34.016 470.821 Td /F1 12.0 Tf [(of the mathematical definitions and results that are used in the book. Topics covered range from the basic distribution and density functions, )] TJ ET
BT 34.016 456.169 Td /F1 12.0 Tf [(expectation, conditioning, characteristic functions, cumulants, convergence in distribution and the central limit theorem to more advanced )] TJ ET
BT 34.016 441.517 Td /F1 12.0 Tf [(concepts such as exchangeability, models with a group structure, asymptotic approximations to integrals, orthogonal polynomials and )] TJ ET
BT 34.016 426.865 Td /F1 12.0 Tf [(saddlepoint approximations. The emphasis is on topics useful in understanding statistical methodology; thus, parametric statistical models and )] TJ ET
BT 34.016 412.213 Td /F1 12.0 Tf [(the distribution theory associated with the normal distribution are covered comprehensively.)] TJ ET
BT 34.016 397.561 Td /F1 12.0 Tf [(Monte Carlo Methods for Applied Scientists)] TJ ET
BT 264.104 397.561 Td /F1 12.0 Tf [( Ivan Dimov 2008 The Monte Carlo method is inherently parallel and the extensive and rapid )] TJ ET
BT 34.016 382.909 Td /F1 12.0 Tf [(development in parallel computers, computational clusters and grids has resulted in renewed and increasing interest in this method. At the same )] TJ ET
BT 34.016 368.257 Td /F1 12.0 Tf [(time there has been an expansion in the application areas and the method is now widely used in many important areas of science including )] TJ ET
BT 34.016 353.605 Td /F1 12.0 Tf [(nuclear and semiconductor physics, statistical mechanics and heat and mass transfer. This book attempts to bridge the gap between theory and )] TJ ET
BT 34.016 338.953 Td /F1 12.0 Tf [(practice concentrating on modern algorithmic implementation on parallel architecture machines. Although a suitable text for final year )] TJ ET
BT 34.016 324.301 Td /F1 12.0 Tf [(postgraduate mathematicians and computational scientists it is principally aimed at the applied scientists: only a small amount of mathematical )] TJ ET
BT 34.016 309.649 Td /F1 12.0 Tf [(knowledge is assumed and theorem proving is kept to a minimum, with the main focus being on parallel algorithms development often to applied )] TJ ET
BT 34.016 294.997 Td /F1 12.0 Tf [(industrial problems. A selection of algorithms developed both for serial and parallel machines are provided. Sample Chapter\(s\). Chapter 1: )] TJ ET
BT 34.016 280.345 Td /F1 12.0 Tf [(Introduction \(231 KB\). Contents: Basic Results of Monte Carlo Integration; Optimal Monte Carlo Method for Multidimensional Integrals of Smooth )] TJ ET
BT 34.016 265.693 Td /F1 12.0 Tf [(Functions; Iterative Monte Carlo Methods for Linear Equations; Markov Chain Monte Carlo Methods for Eigenvalue Problems; Monte Carlo )] TJ ET
BT 34.016 251.041 Td /F1 12.0 Tf [(Methods for Boundary-Value Problems \(BVP\); Superconvergent Monte Carlo for Density Function Simulation by B-Splines; Solving Non-Linear )] TJ ET
BT 34.016 236.389 Td /F1 12.0 Tf [(Equations; Algorithmic Effciency for Different Computer Models; Applications for Transport Modeling in Semiconductors and Nanowires. )] TJ ET
BT 34.016 221.737 Td /F1 12.0 Tf [(Readership: Applied scientists and mathematicians.)] TJ ET
BT 34.016 207.085 Td /F1 12.0 Tf [(Integrated Tracking, Classification, and Sensor Management)] TJ ET
BT 356.156 207.085 Td /F1 12.0 Tf [( Mahendra Mallick 2012-12-03 A unique guide to the state of the art of tracking, )] TJ ET
BT 34.016 192.433 Td /F1 12.0 Tf [(classification, and sensor management This book addresses the tremendous progress made over the last few decades in algorithm development )] TJ ET
BT 34.016 177.781 Td /F1 12.0 Tf [(and mathematical analysis for filtering, multi-target multi-sensor tracking, sensor management and control, and target classification. It provides )] TJ ET
BT 34.016 163.129 Td /F1 12.0 Tf [(for the first time an integrated treatment of these advanced topics, complete with careful mathematical formulation, clear description of the theory, )] TJ ET
BT 34.016 148.477 Td /F1 12.0 Tf [(and real-world applications. Written by experts in the field, Integrated Tracking, Classification, and Sensor Management provides readers with )] TJ ET
BT 34.016 133.825 Td /F1 12.0 Tf [(easy access to key Bayesian modeling and filtering methods, multi-target tracking approaches, target classification procedures, and large scale )] TJ ET
BT 34.016 119.173 Td /F1 12.0 Tf [(sensor management problem-solving techniques. Features include: An accessible coverage of random finite set based multi-target filtering )] TJ ET
BT 34.016 104.521 Td /F1 12.0 Tf [(algorithms such as the Probability Hypothesis Density filters and multi-Bernoulli filters with focus on problem solving A succinct overview of the )] TJ ET
BT 34.016 89.869 Td /F1 12.0 Tf [(track-oriented MHT that comprehensively collates all significant developments in filtering and tracking A state-of-the-art algorithm for hybrid )] TJ ET
BT 34.016 75.217 Td /F1 12.0 Tf [(Bayesian network \(BN\) inference that is efficient and scalable for complex classification models New structural results in stochastic sensor )] TJ ET
BT 34.016 60.565 Td /F1 12.0 Tf [(scheduling and algorithms for dynamic sensor scheduling and management Coverage of the posterior Cramer-Rao lower bound \(PCRLB\) for )] TJ ET
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BT 34.016 1144.813 Td /F1 12.0 Tf [(target tracking and sensor management Insight into cutting-edge military and civilian applications, including intelligence, surveillance, and )] TJ ET
BT 34.016 1130.161 Td /F1 12.0 Tf [(reconnaissance \(ISR\) With its emphasis on the latest research results, Integrated Tracking, Classification, and Sensor Management is an )] TJ ET
BT 34.016 1115.509 Td /F1 12.0 Tf [(invaluable guide for researchers and practitioners in statistical signal processing, radar systems, operations research, and control theory.)] TJ ET
BT 34.016 1100.857 Td /F1 12.0 Tf [(Inference in Hidden Markov Models)] TJ ET
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34.016 1098.877 m 222.752 1098.877 l S
BT 222.752 1100.857 Td /F1 12.0 Tf [( Olivier Cappé 2006-04-18 This book is a comprehensive treatment of inference for hidden Markov models, )] TJ ET
BT 34.016 1086.205 Td /F1 12.0 Tf [(including both algorithms and statistical theory. Topics range from filtering and smoothing of the hidden Markov chain to parameter estimation, )] TJ ET
BT 34.016 1071.553 Td /F1 12.0 Tf [(Bayesian methods and estimation of the number of states. In a unified way the book covers both models with finite state spaces and models with )] TJ ET
BT 34.016 1056.901 Td /F1 12.0 Tf [(continuous state spaces \(also called state-space models\) requiring approximate simulation-based algorithms that are also described in detail. )] TJ ET
BT 34.016 1042.249 Td /F1 12.0 Tf [(Many examples illustrate the algorithms and theory. This book builds on recent developments to present a self-contained view.)] TJ ET
BT 34.016 1027.597 Td /F1 12.0 Tf [(Scientific Computing)] TJ ET
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BT 143.384 1027.597 Td /F1 12.0 Tf [( Michael T. Heath 2018-11-14 This book differs from traditional numerical analysis texts in that it focuses on the motivation )] TJ ET
BT 34.016 1012.945 Td /F1 12.0 Tf [(and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for )] TJ ET
BT 34.016 998.293 Td /F1 12.0 Tf [(solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective )] TJ ET
BT 34.016 983.641 Td /F1 12.0 Tf [(solution algorithms, and interpretation of results. In the 20 years since its original publication, the modern, fundamental perspective of this book )] TJ ET
BT 34.016 968.989 Td /F1 12.0 Tf [(has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and )] TJ ET
BT 34.016 954.337 Td /F1 12.0 Tf [(the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability )] TJ ET
BT 34.016 939.685 Td /F1 12.0 Tf [(of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An )] TJ ET
BT 34.016 925.033 Td /F1 12.0 Tf [(Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve )] TJ ET
BT 34.016 910.381 Td /F1 12.0 Tf [(mathematical problems.)] TJ ET
BT 34.016 895.729 Td /F1 12.0 Tf [(Computational Approaches for Aerospace Design)] TJ ET
0.24 w 0 J [ ] 0 d
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BT 297.464 895.729 Td /F1 12.0 Tf [( Andy Keane 2005-08-05 Over the last fifty years, the ability to carry out analysis as a precursor )] TJ ET
BT 34.016 881.077 Td /F1 12.0 Tf [(to decision making in engineering design has increased dramatically. In particular, the advent of modern computing systems and the )] TJ ET
BT 34.016 866.425 Td /F1 12.0 Tf [(development of advanced numerical methods have made computational modelling a vital tool for producing optimized designs. This text explores )] TJ ET
BT 34.016 851.773 Td /F1 12.0 Tf [(how computer-aided analysis has revolutionized aerospace engineering, providing a comprehensive coverage of the latest technologies )] TJ ET
BT 34.016 837.121 Td /F1 12.0 Tf [(underpinning advanced computational design. Worked case studies and over 500 references to the primary research literature allow the reader )] TJ ET
BT 34.016 822.469 Td /F1 12.0 Tf [(to gain a full understanding of the technology, giving a valuable insight into the world’s most complex engineering systems. Key Features: )] TJ ET
BT 34.016 807.817 Td /F1 12.0 Tf [(Includes background information on the history of aerospace design and established optimization, geometrical and mathematical modelling )] TJ ET
BT 34.016 793.165 Td /F1 12.0 Tf [(techniques, setting recent engineering developments in a relevant context. Examines the latest methods such as evolutionary and response )] TJ ET
BT 34.016 778.513 Td /F1 12.0 Tf [(surface based optimization, adjoint and numerically differentiated sensitivity codes, uncertainty analysis, and concurrent systems integration )] TJ ET
BT 34.016 763.861 Td /F1 12.0 Tf [(schemes using grid-based computing. Methods are illustrated with real-world applications of structural statics, dynamics and fluid mechanics to )] TJ ET
BT 34.016 749.209 Td /F1 12.0 Tf [(satellite, aircraft and aero-engine design problems. Senior undergraduate and postgraduate engineering students taking courses in aerospace, )] TJ ET
BT 34.016 734.557 Td /F1 12.0 Tf [(vehicle and engine design will find this a valuable resource. It will also be useful for practising engineers and researchers working on )] TJ ET
BT 34.016 719.905 Td /F1 12.0 Tf [(computational approaches to design.)] TJ ET
BT 34.016 705.253 Td /F1 12.0 Tf [(Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan)] TJ ET
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BT 520.232 705.253 Td /F1 12.0 Tf [( Josef Dick 2018-05-23 This book is a tribute to )] TJ ET
BT 34.016 690.601 Td /F1 12.0 Tf [(Professor Ian Hugh Sloan on the occasion of his 80th birthday. It consists of nearly 60 articles written by international leaders in a diverse range )] TJ ET
BT 34.016 675.949 Td /F1 12.0 Tf [(of areas in contemporary computational mathematics. These papers highlight the impact and many achievements of Professor Sloan in his )] TJ ET
BT 34.016 661.297 Td /F1 12.0 Tf [(distinguished academic career. The book also presents state of the art knowledge in many computational fields such as quasi-Monte Carlo and )] TJ ET
BT 34.016 646.645 Td /F1 12.0 Tf [(Monte Carlo methods for multivariate integration, multi-level methods, finite element methods, uncertainty quantification, spherical designs and )] TJ ET
BT 34.016 631.993 Td /F1 12.0 Tf [(integration on the sphere, approximation and interpolation of multivariate functions, oscillatory integrals, and in general in information-based )] TJ ET
BT 34.016 617.341 Td /F1 12.0 Tf [(complexity and tractability, as well as in a range of other topics. The book also tells the life story of the renowned mathematician, family man, )] TJ ET
BT 34.016 602.689 Td /F1 12.0 Tf [(colleague and friend, who has been an inspiration to many of us. The reader may especially enjoy the story from the perspective of his family, his )] TJ ET
BT 34.016 588.037 Td /F1 12.0 Tf [(wife, his daughter and son, as well as grandchildren, who share their views of Ian. The clear message of the book is that Ian H. Sloan has been a )] TJ ET
BT 34.016 573.385 Td /F1 12.0 Tf [(role model in science and life.)] TJ ET
BT 34.016 558.733 Td /F1 12.0 Tf [(Introducing Monte Carlo Methods with R)] TJ ET
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34.016 556.753 m 248.096 556.753 l S
BT 248.096 558.733 Td /F1 12.0 Tf [( Christian Robert 2010 This book covers the main tools used in statistical simulation from a )] TJ ET
BT 34.016 544.081 Td /F1 12.0 Tf [(programmer’s point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and )] TJ ET
BT 34.016 529.429 Td /F1 12.0 Tf [(comparison.)] TJ ET
BT 34.016 514.777 Td /F1 12.0 Tf [(Biometrics - Volume II)] TJ ET
BT 151.376 514.777 Td /F1 12.0 Tf [( Susan R. Wilson 2009-02-18 Biometrics is a component of Encyclopedia of Mathematical Sciences in the global )] TJ ET
BT 34.016 500.125 Td /F1 12.0 Tf [(Encyclopedia of Life Support Systems \(EOLSS\), which is an integrated compendium of twenty one Encyclopedias. Biometry is a broad discipline )] TJ ET
BT 34.016 485.473 Td /F1 12.0 Tf [(covering all applications of statistics and mathematics to biology. The Theme Biometrics is divided into areas of expertise essential for a proper )] TJ ET
BT 34.016 470.821 Td /F1 12.0 Tf [(application of statistical and mathematical methods to contemporary biological problems. These volumes cover four main topics: Data Collection )] TJ ET
BT 34.016 456.169 Td /F1 12.0 Tf [(and Analysis, Statistical Methodology, Computation, Biostatistical Methods and Research Design and Selected Topics. These volumes are )] TJ ET
BT 34.016 441.517 Td /F1 12.0 Tf [(aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel )] TJ ET
BT 34.016 426.865 Td /F1 12.0 Tf [(and Policy analysts, managers, and decision makers and NGOs.)] TJ ET
BT 34.016 412.213 Td /F1 12.0 Tf [(Handbook of Computational Statistics)] TJ ET
BT 234.104 412.213 Td /F1 12.0 Tf [( Yuichi Mori 2004-07-14 The Handbook of Computational Statistics: Concepts and Methodology is divided )] TJ ET
BT 34.016 397.561 Td /F1 12.0 Tf [(into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting )] TJ ET
BT 34.016 382.909 Td /F1 12.0 Tf [(field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic )] TJ ET
BT 34.016 368.257 Td /F1 12.0 Tf [(methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention )] TJ ET
BT 34.016 353.605 Td /F1 12.0 Tf [(is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like )] TJ ET
BT 34.016 338.953 Td /F1 12.0 Tf [(Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.)] TJ ET
BT 34.016 324.301 Td /F1 12.0 Tf [(Measurement Error and Misclassification in Statistics and Epidemiology)] TJ ET
BT 413.468 324.301 Td /F1 12.0 Tf [( Paul Gustafson 2003-09-25 Mismeasurement of explanatory variables is )] TJ ET
BT 34.016 309.649 Td /F1 12.0 Tf [(a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where )] TJ ET
BT 34.016 294.997 Td /F1 12.0 Tf [(perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and categorical variables, )] TJ ET
BT 34.016 280.345 Td /F1 12.0 Tf [(Measurement Error and Misclassi)] TJ ET
BT 34.016 265.693 Td /F1 12.0 Tf [(Handbook of Computational Statistics)] TJ ET
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BT 234.104 265.693 Td /F1 12.0 Tf [( James E. Gentle 2012-07-06 The Handbook of Computational Statistics - Concepts and Methods \(second )] TJ ET
BT 34.016 251.041 Td /F1 12.0 Tf [(edition\) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as )] TJ ET
BT 34.016 236.389 Td /F1 12.0 Tf [(well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way )] TJ ET
BT 34.016 221.737 Td /F1 12.0 Tf [(as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" \(Ch.1\): an overview of the field of )] TJ ET
BT 34.016 207.085 Td /F1 12.0 Tf [(Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, )] TJ ET
BT 34.016 192.433 Td /F1 12.0 Tf [(including a discussion of current active research. The second part \(Chs. 2 - 15\) presents several topics in the supporting field of statistical )] TJ ET
BT 34.016 177.781 Td /F1 12.0 Tf [(computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, )] TJ ET
BT 34.016 163.129 Td /F1 12.0 Tf [(database handling, high-dimensional data and graphics treatment are discussed. The third part \(Chs. 16 - 33\) focuses on statistical methodology. )] TJ ET
BT 34.016 148.477 Td /F1 12.0 Tf [(Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected )] TJ ET
BT 34.016 133.825 Td /F1 12.0 Tf [(applications \(Chs. 34 - 38\) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness )] TJ ET
BT 34.016 119.173 Td /F1 12.0 Tf [(of computational statistics in real-world applications.)] TJ ET
BT 34.016 104.521 Td /F1 12.0 Tf [(Intelligent Control Systems Using Computational Intelligence Techniques)] TJ ET
BT 420.836 104.521 Td /F1 12.0 Tf [( A.E. Ruano 2005-07-18 Intelligent Control techniques are becoming )] TJ ET
BT 34.016 89.869 Td /F1 12.0 Tf [(important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems )] TJ ET
BT 34.016 75.217 Td /F1 12.0 Tf [(and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings )] TJ ET
BT 34.016 60.565 Td /F1 12.0 Tf [(and cost reductions. Intelligent Control Systems using Computational Intellingence Techniques details the application of these tools to the field of )] TJ ET
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BT 34.016 1144.813 Td /F1 12.0 Tf [(control systems. Each chapter gives and overview of current approaches in the topic covered, with a set of the most important references in the )] TJ ET
BT 34.016 1130.161 Td /F1 12.0 Tf [(field, and then details the author's approach, examining both the theory and practical applications.)] TJ ET
BT 34.016 1115.509 Td /F1 12.0 Tf [(Surrogate Model-Based Engineering Design and Optimization)] TJ ET
BT 362.156 1115.509 Td /F1 12.0 Tf [( Ping Jiang 2019-11-01 This book covers some of the most popular methods in )] TJ ET
BT 34.016 1100.857 Td /F1 12.0 Tf [(design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, )] TJ ET
BT 34.016 1086.205 Td /F1 12.0 Tf [(surrogate-based robust design optimization, and surrogate-based evolutionary optimization. Surrogate or metamodels are now frequently used in )] TJ ET
BT 34.016 1071.553 Td /F1 12.0 Tf [(complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input )] TJ ET
BT 34.016 1056.901 Td /F1 12.0 Tf [(parameter values and the corresponding output performance or quantities of interest \(QOIs\) to provide predictions based on the fitted or )] TJ ET
BT 34.016 1042.249 Td /F1 12.0 Tf [(interpolated mathematical relationships. The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a )] TJ ET
BT 34.016 1027.597 Td /F1 12.0 Tf [(good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-)] TJ ET
BT 34.016 1012.945 Td /F1 12.0 Tf [(dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative )] TJ ET
BT 34.016 998.293 Td /F1 12.0 Tf [(examples are included throughout to help explain the approaches in a more “hands-on” manner.)] TJ ET
BT 34.016 983.641 Td /F1 12.0 Tf [(Automatic Nonuniform Random Variate Generation)] TJ ET
BT 305.456 983.641 Td /F1 12.0 Tf [( Wolfgang Hörmann 2013-06-29 The recent concept of universal \(also called automatic or )] TJ ET
BT 34.016 968.989 Td /F1 12.0 Tf [(black-box\) random variate generation can only be found dispersed in the literature. Being unique in its overall organization, the book covers not )] TJ ET
BT 34.016 954.337 Td /F1 12.0 Tf [(only the mathematical and statistical theory but also deals with the implementation of such methods. All algorithms introduced in the book are )] TJ ET
BT 34.016 939.685 Td /F1 12.0 Tf [(designed for practical use in simulation and have been coded and made available by the authors. Examples of possible applications of the )] TJ ET
BT 34.016 925.033 Td /F1 12.0 Tf [(presented algorithms \(including option pricing, VaR and Bayesian statistics\) are presented at the end of the book.)] TJ ET
BT 34.016 910.381 Td /F1 12.0 Tf [(Approximating Integrals Via Monte Carlo and Deterministic Methods)] TJ ET
BT 394.808 910.381 Td /F1 12.0 Tf [( 2000 )] TJ ET
BT 34.016 895.729 Td /F1 12.0 Tf [(Monte Carlo and Quasi-Monte Carlo Methods 2000)] TJ ET
BT 306.128 895.729 Td /F1 12.0 Tf [( Kai-Tai Fang 2011-06-28 This book represents the refereed proceedings of the Fourth )] TJ ET
BT 34.016 881.077 Td /F1 12.0 Tf [(International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing which was held at Hong Kong Baptist )] TJ ET
BT 34.016 866.425 Td /F1 12.0 Tf [(University in 2000. An important feature are invited surveys of the state-of-the-art in key areas such as multidimensional numerical integration, )] TJ ET
BT 34.016 851.773 Td /F1 12.0 Tf [(low-discrepancy point sets, random number generation, and applications of Monte Carlo and quasi-Monte Carlo methods. These proceedings )] TJ ET
BT 34.016 837.121 Td /F1 12.0 Tf [(include also carefully selected contributed papers on all aspects of Monte Carlo and quasi-Monte Carlo methods. The reader will be informed )] TJ ET
BT 34.016 822.469 Td /F1 12.0 Tf [(about current research in this very active field.)] TJ ET
BT 34.016 807.817 Td /F1 12.0 Tf [(Uncertainty Quantification in Computational Science)] TJ ET
BT 310.796 807.817 Td /F1 12.0 Tf [( Sunetra Sarkar 2016-08-19 During the last decade, research in Uncertainty Quantification )] TJ ET
BT 34.016 793.165 Td /F1 12.0 Tf [(\(UC\) has received a tremendous boost, in fluid engineering and coupled structural-fluids systems. New algorithms and adaptive variants have )] TJ ET
BT 34.016 778.513 Td /F1 12.0 Tf [(also emerged. This timely compendium overviews in detail the current state of the art of the field, including advances in structural engineering, )] TJ ET
BT 34.016 763.861 Td /F1 12.0 Tf [(along with the recent focus on fluids and coupled systems. Such a strong compilation of these vibrant research areas will certainly be an )] TJ ET
BT 34.016 749.209 Td /F1 12.0 Tf [(inspirational reference material for the scientific community.)] TJ ET
BT 34.016 734.557 Td /F1 12.0 Tf [(Monte Carlo Methods and Applications)] TJ ET
BT 240.104 734.557 Td /F1 12.0 Tf [( Ivan Dimov 2013-01-01 This is the proceedings of the "8th IMACS Seminar on Monte Carlo Methods" )] TJ ET
BT 34.016 719.905 Td /F1 12.0 Tf [(held from August 29 to September 2, 2011 in Borovets, Bulgaria, and organized by the Institute of Information and Communication Technologies )] TJ ET
BT 34.016 705.253 Td /F1 12.0 Tf [(of the Bulgarian Academy of Sciences in cooperation with the International Association for Mathematics and Computers in Simulation \(IMACS\). )] TJ ET
BT 34.016 690.601 Td /F1 12.0 Tf [(Included are 24 papers which cover all topics presented in the sessions of the seminar: stochastic computation and complexity of high )] TJ ET
BT 34.016 675.949 Td /F1 12.0 Tf [(dimensional problems, sensitivity analysis, high-performance computations for Monte Carlo applications, stochastic metaheuristics for )] TJ ET
BT 34.016 661.297 Td /F1 12.0 Tf [(optimization problems, sequential Monte Carlo methods for large-scale problems, semiconductor devices and nanostructures.)] TJ ET
BT 34.016 646.645 Td /F1 12.0 Tf [(Nonlinear Time Series)] TJ ET
BT 152.708 646.645 Td /F1 12.0 Tf [( Randal Douc 2014-01-06 Designed for researchers and students, Nonlinear Times Series: Theory, Methods and )] TJ ET
BT 34.016 631.993 Td /F1 12.0 Tf [(Applications with R Examples familiarizes readers with the principles behind nonlinear time series models-without overwhelming them with )] TJ ET
BT 34.016 617.341 Td /F1 12.0 Tf [(difficult mathematical developments. By focusing on basic principles and theory, the authors give readers the background required)] TJ ET
BT 36.266 577.946 Td /F1 8.0 Tf [(approximating-integrals-via-monte-carlo-and-deterministic-methods)] TJ ET
BT 591.736 578.153 Td /F1 8.0 Tf [(Downloaded from )] TJ ET
BT 656.648 577.946 Td /F1 8.0 Tf [(rch.coop)] TJ ET
BT 687.328 578.153 Td /F1 8.0 Tf [( on September 30, 2022 by guest)] TJ ET
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