BAY Bayesian 電子書籍

BAY
Bayesian
電子書籍

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本・雑誌・コミック (288) (BAY Bayesian 電子書籍)
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288件中 121件 - 150件 1 2 3 4 5 6 7 8 9 10

商品	説明	価格
Nonparametric Bayesian Inference Contributions by Jean-Marie Rolin【電子書籍】楽天Kobo電子書籍ストア	＜p＞This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-Marie was professor of statistics at University of Louvain and died on November 5th, 2018. He made important contributions in mathematical statistics with applications to different fields like econometrics or biometrics.These papers cover a variety of topics, including:＜/p＞＜p＞? The Mathematical structure of the Bayesian model and the main concepts (sufficiency, ancillarity, invariance…)＜/p＞＜p＞? Representation of the Dirichlet processes and of the associated Polya urn model and applications to nonparametric bayesian analysis.＜/p＞＜p＞? Contributions to duration models and to their non parametric bayesian treatment.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	24,309円
Situation Assessment in Aviation Bayesian Network and Fuzzy Logic-based Approaches【電子書籍】[ Jitendra R. Raol ] 楽天Kobo電子書籍ストア	＜p＞＜em＞Situation Assessment in Aviation＜/em＞ focuses on new aspects of soft computing technologies for the evaluation and assessment of situations in aviation scenarios. It considers technologies emerging from multisensory data fusion (MSDF), Bayesian networks (BN), and fuzzy logic (FL) to assist pilots in their decision-making.＜/p＞＜p＞Studying MSDF, BN, and FL from the perspective of their applications to the problem of situation assessment, the book discusses the development of certain soft technologies that can be further used for devising more sophisticated technologies for a pilot's decision-making when performing certain tasks: airplane monitoring, pair formation, attack, and threat. It explains the concepts of situation awareness, data fusion, decision fusion, Bayesian networks, fuzzy logic type 1, and interval type 2 fuzzy logic. The book also presents a hybrid technique by using BN and FL and a unique approach to the problem of situation assessment, beyond visual range and air-to-air combat, by utilizing building blocks of artificial intelligence (AI) for the future development of more advanced automated systems, especially using commercial software.＜/p＞＜p＞The book is intended for aerospace R&D engineers, systems engineers, aeronautical engineers, and aviation training professionals. It will also be useful for aerospace and electrical engineering students taking courses in Air Traffic Management, Aviation Management, Aviation Operations, and Aviation Safety Systems.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	37,067円
Bayesian Methods in Statistics From Concepts to Practice【電子書籍】[ Mel Slater ] 楽天Kobo電子書籍ストア	＜p＞This book walks you through learning probability and statistics from a Bayesian point of view.＜/p＞＜p＞From an introduction to probability theory through to frameworks for doing rigorous calculations of probability, it discusses Bayes’ Theorem before illustrating how to use it in a variety of different situations with data addressing social and psychological issues.＜/p＞＜p＞The book also:＜/p＞＜ul＞＜li＞Equips you with coding skills in the statistical modelling language Stan and programming language R.＜/li＞＜li＞Discusses how Bayesian approaches to statistics compare to classical approaches.＜/li＞＜li＞Introduces Markov Chain Monte Carlo methods for doing Bayesian statistics through computer simulations, so you understand how Bayesian solutions are implemented.＜/li＞＜/ul＞＜p＞Features include an introduction to each chapter and a chapter summary to help you check your learning. All the examples and data used in the book are also available in the online resources so you can practice at your own pace.＜/p＞＜p＞For readers with some understanding of basic mathematical functions and notation, this book will get you up and running so you can do Bayesian statistics with confidence.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	7,750円
Bayesian Missing Data Problems EM, Data Augmentation and Noniterative Computation【電子書籍】[ Ming T. Tan ] 楽天Kobo電子書籍ストア	＜p＞Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-wor＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	14,320円
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation【電子書籍】[ Rachel C. M. Warnock ] 楽天Kobo電子書籍ストア	＜p＞Placing evolutionary events in the context of geological time is a fundamental goal in paleobiology and macroevolution. In this Element we describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its component models: the substitution model, the clock model and the tree model. We provide an overview of the most widely used models for each component and highlight the advantages of implementing the tripartite model within a Bayesian framework.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,100円
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers【電子書籍】楽天Kobo電子書籍ストア	＜p＞This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016.＜br /＞ The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions.＜br /＞ The goal of the MCV workshop is to explore the use of "big data” algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images.＜br /＞ The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,076円
Practical Bayesian Inference A Primer for Physical Scientists【電子書籍】[ Coryn A. L. Bailer-Jones ] 楽天Kobo電子書籍ストア	＜p＞Science is fundamentally about learning from data, and doing so in the presence of uncertainty. This volume is an introduction to the major concepts of probability and statistics, and the computational tools for analysing and interpreting data. It describes the Bayesian approach, and explains how this can be used to fit and compare models in a range of problems. Topics covered include regression, parameter estimation, model assessment, and Monte Carlo methods, as well as widely used classical methods such as regularization and hypothesis testing. The emphasis throughout is on the principles, the unifying probabilistic approach, and showing how the methods can be implemented in practice. R code (with explanations) is included and is available online, so readers can reproduce the plots and results for themselves. Aimed primarily at undergraduate and graduate students, these techniques can be applied to a wide range of data analysis problems beyond the scope of this work.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	7,143円
Bayesian Networks in Educational Assessment【電子書籍】[ Russell G. Almond ] 楽天Kobo電子書籍ストア	＜p＞Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments.＜/p＞＜p＞Part I develops Bayes nets’ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volume’s grounding in Evidence-Centered Design (ECD) framework for assessment design. This “design forward” approach enables designers to take full advantage of Bayes nets’ modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD,situates Bayes nets as an integral component of a principled design process, and illustrates the ideas with an in-depth look at the BioMass project: An interactive, standards-based, web-delivered demonstration assessment of science inquiry in genetics.＜/p＞＜p＞This book is both a resource for professionals interested in assessment and advanced students. Its clear exposition, worked-through numerical examples, and demonstrations from real and didactic applications provide invaluable illustrations of how to use Bayes nets in educational assessment. Exercises follow each chapter, and the online companion site provides a glossary, data sets and problem setups, and links to computational resources.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	10,938円
Bayesian Thinking in Biostatistics【電子書籍】[ Gary L Rosner ] 楽天Kobo電子書籍ストア	＜p＞Praise for ＜em＞Bayesian Thinking in Biostatistics:＜/em＞＜/p＞＜p＞"This thoroughly modern Bayesian book …is a 'must have' as a textbook or a reference volume. Rosner, Laud and Johnson make the case for Bayesian approaches by melding clear exposition on methodology with serious attention to a broad array of illuminating applications. These are activated by excellent coverage of computing methods and provision of code. Their content on model assessment, robustness, data-analytic approaches and predictive assessments…are essential to valid practice. The numerous exercises and professional advice make the book ideal as a text for an intermediate-level course…"＜/p＞＜p＞-＜strong＞Thomas Louis＜/strong＞, Johns Hopkins University＜/p＞＜p＞"The book introduces all the important topics that one would usually cover in a beginning graduate level class on Bayesian biostatistics. The careful introduction of the Bayesian viewpoint and the mechanics of implementing Bayesian inference in the early chapters makes it a complete self- contained introduction to Bayesian inference for biomedical problems….Another great feature for using this book as a textbook is the inclusion of extensive problem sets, going well beyond construed and simple problems. Many exercises consider real data and studies, providing very useful examples in addition to serving as problems."＜/p＞＜p＞- ＜strong＞Peter Mueller＜/strong＞, University of Texas＜/p＞＜p＞With a focus on incorporating sensible prior distributions and discussions on many recent developments in Bayesian methodologies, ＜strong＞Bayesian Thinking in Biostatistics＜/strong＞ considers statistical issues in biomedical research. The book emphasizes greater collaboration between biostatisticians and biomedical researchers. The text includes an overview of Bayesian statistics, a discussion of many of the methods biostatisticians frequently use, such as rates and proportions, regression models, clinical trial design, and methods for evaluating diagnostic tests.＜/p＞＜p＞Key Features＜/p＞＜ul＞＜li＞＜/li＞＜li＞Applies a Bayesian perspective to applications in biomedical science＜/li＞＜li＞＜/li＞＜li＞Highlights advances in clinical trial design＜/li＞＜li＞＜/li＞＜li＞Goes beyond standard statistical models in the book by introducing Bayesian nonparametric methods and illustrating their uses in data analysis＜/li＞＜li＞＜/li＞＜li＞Emphasizes estimation of biomedically relevant quantities and assessment of the uncertainty in this estimation＜/li＞＜li＞＜/li＞＜li＞Provides programs in the BUGS language, with variants for JAGS and Stan, that one can use or adapt for one's own research＜/li＞＜/ul＞＜p＞The intended audience includes graduate students in biostatistics, epidemiology, and biomedical researchers, in general＜/p＞＜p＞Authors＜/p＞＜p＞＜strong＞Gary L. Rosner＜/strong＞ is the Eli Kennerly Marshall, Jr., Professor of Oncology at the Johns Hopkins School of Medicine and Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.＜/p＞＜p＞＜strong＞Purushottam (Prakash) W. Laud＜/strong＞ is Professor in the Division of Biostatistics, and Director of the Biostatistics Shared Resource for the Cancer Center, at the Medical College of Wisconsin.＜/p＞＜p＞＜strong＞Wesley O. Johnson＜/strong＞ is professor Emeritus in the Department of Statistics as the University of California, Irvine.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	25,273円
Bayesian Hierarchical Models With Applications Using R, Second Edition【電子書籍】[ Peter D. Congdon ] 楽天Kobo電子書籍ストア	＜p＞An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods.＜/p＞＜p＞The new edition is a revision of the book ＜em＞Applied Bayesian Hierarchical Methods＜/em＞. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples.＜/p＞＜p＞The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities.＜/p＞＜p＞Features:＜/p＞＜ul＞＜li＞＜/li＞＜li＞Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling＜/li＞＜li＞＜/li＞＜li＞Includes many real data examples to illustrate different modelling topics＜/li＞＜li＞＜/li＞＜li＞R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation＜/li＞＜li＞＜/li＞＜li＞Software options and coding principles are introduced in new chapter on computing＜/li＞＜li＞＜/li＞＜li＞Programs and data sets available on the book’s ＜a href="www.qmul.ac.uk/geog/staff/congdonp.html"＞website＜/a＞＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	10,949円
The Significance Test Controversy Revisited The Fiducial Bayesian Alternative【電子書籍】[ Bruno Lecoutre ] 楽天Kobo電子書籍ストア	＜p＞The purpose of this book is not only to revisit the “significance test controversy,”but also to provide a conceptually sounder alternative. As such, it presents a Bayesian framework for a new approach to analyzing and interpreting experimental data. It also prepares students and researchers for reporting on experimental results. Normative aspects: The main views of statistical tests are revisited and the philosophies of Fisher, Neyman-Pearson and Jeffrey are discussed in detail. Descriptive aspects: The misuses of Null Hypothesis Significance Tests are reconsidered in light of Jeffreys’ Bayesian conceptions concerning the role of statistical inference in experimental investigations. Prescriptive aspects: The current effect size and confidence interval reporting practices are presented and seriously questioned. Methodological aspects are carefully discussed and fiducial Bayesian methods are proposed as a more suitable alternative for reporting on experimental results. In closing, basic routine procedures regarding the means and their generalization to the most common ANOVA applications are presented and illustrated. All the calculations discussed can be easily carried out using the freeware LePAC package.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,685円
Elementary Bayesian Biostatistics【電子書籍】[ Lemuel A. Moye ] 楽天Kobo電子書籍ストア	＜p＞Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools of noninformative priors as well as the modern innovations of adaptive randomization and predictive power. Presenting an introductory perspective to modern Bayesian procedures, Elementary Bayesian Biostatistics explo＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	14,656円
Bayesian Designs for Phase I-II Clinical Trials【電子書籍】[ Ying Yuan ] 楽天Kobo電子書籍ストア	＜p＞Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources.＜/p＞＜p＞＜strong＞Bayesian Designs for Phase I?II Clinical Trials＜/strong＞ describes how phase I?II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory clinical trials. It illustrates many of the severe drawbacks with conventional methods used for early-phase clinical trials and presents numerous Bayesian designs for human clinical trials of new experimental treatment regimes.＜/p＞＜p＞Written by research leaders from the University of Texas MD Anderson Cancer Center, this book shows how Bayesian designs for early-phase clinical trials can explore, refine, and optimize new experimental treatments. It emphasizes the importance of basing decisions on both efficacy and toxicity.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	9,602円
Bayesian Probability for Babies【電子書籍】[ Chris Ferrie ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Fans of Chris Ferrie's ＜em＞Rocket Science for Babies＜/em＞, ＜em＞Astrophysics for Babies＜/em＞, and ＜em＞8 Little Planets＜/em＞ will love this introduction to the basic principles of probability for babies and toddlers!＜/strong＞＜/p＞＜p＞Help your future genius become the smartest baby in the room! It only takes a small spark to ignite a child's mind.＜/p＞＜p＞If you took a bite out of a cookie and that bite has no candy in it, what is the probability that bite came from a candy cookie or a cookie with no candy? You and baby will find out the probability and discover it through different types of distribution.＜/p＞＜p＞Yet another Baby University board book full of simple explanations of complex ideas written by an expert for your future genius!＜/p＞＜p＞If you're looking for baby math books, probability for kids, or more Baby University board books to surprise your little one, look no further! ＜em＞Bayesian Probability for Babies＜/em＞ offers fun early learning for your little scientist!＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	630円
Risk Assessment and Decision Analysis with Bayesian Networks【電子書籍】[ Norman Fenton ] 楽天Kobo電子書籍ストア	＜p＞Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions.＜/p＞＜p＞＜strong＞Features＜/strong＞＜/p＞＜ul＞＜li＞Provides all tools necessary to build and run realistic Bayesian network models＜/li＞＜li＞＜/li＞＜li＞Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more＜/li＞＜li＞＜/li＞＜li＞Introduces all necessary mathematics, probability, and statistics as needed＜/li＞＜li＞＜/li＞＜li＞Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications＜/li＞＜/ul＞＜p＞A dedicated ＜strong＞＜a href="bayesianrisk.blogspot.com/"＞website＜/a＞＜/strong＞ contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk ＜strong＞＜a href="www.agenarisk.com/"＞software＜/a＞＜/strong＞ contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	9,939円
Bayesian Modeling Using WinBUGS【電子書籍】[ Ioannis Ntzoufras ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞A hands-on introduction to the principles of Bayesian modeling using WinBUGS＜/strong＞＜/p＞＜p＞＜em＞Bayesian Modeling Using WinBUGS＜/em＞ provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles of Bayesian modeling with detailed guidance on the practical implementation of key principles.＜/p＞＜p＞The book begins with a basic introduction to Bayesian inference and the WinBUGS software and goes on to cover key topics, including:＜/p＞＜ul＞＜li＞Markov Chain Monte Carlo algorithms in Bayesian inference＜/li＞＜li＞Generalized linear models＜/li＞＜li＞Bayesian hierarchical models＜/li＞＜li＞Predictive distribution and model checking＜/li＞＜li＞Bayesian model and variable evaluation＜/li＞＜/ul＞＜p＞Computational notes and screen captures illustrate the use of both WinBUGS as well as R software to apply the discussed techniques. Exercises at the end of each chapter allow readers to test their understanding of the presented concepts and all data sets and code are available on the book's related Web site.＜/p＞＜p＞Requiring only a working knowledge of probability theory and statistics, ＜em＞Bayesian Modeling Using WinBUGS＜/em＞ serves as an excellent book for courses on Bayesian statistics at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of statistics, actuarial science, medicine, and the social sciences who use WinBUGS in their everyday work.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	21,324円
Bayesian Nonparametric Statistics ?cole d’?t? de Probabilit?s de Saint-Flour LI - 2023【電子書籍】[ Isma?l Castillo ] 楽天Kobo電子書籍ストア	＜p＞This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and multiple testing, Bernstein-von Mises theorems and variational Bayes approximations, many of which have previously only been accessible through research articles. Although Bayesian posterior distributions are widely applied in astrophysics, inverse problems, genomics, machine learning and elsewhere, their theory is still only partially understood, especially in complex settings such as nonparametric or semiparametric models. Here, the available theory on the frequentist analysis of posterior distributions is outlined in terms of convergence rates, limiting shape results and uncertainty quantification. Based on lecture notes for a course given at the St-Flour summer school in 2023, the book is aimed at researchers and graduate students in statistics and probability.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	7,292円
Modelling Spatial and Spatial-Temporal Data A Bayesian Approach【電子書籍】[ Robert P. Haining ] 楽天Kobo電子書籍ストア	＜p＞Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online.＜/p＞＜p＞Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	10,781円
An Introductory Handbook of Bayesian Thinking【電子書籍】[ Stephen C. Loftus ] 楽天Kobo電子書籍ストア	＜p＞An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics, particularly for nonstatisticians with a sufficient mathematical background, the text provides a gentle introduction to Bayesian ideas with a wide array of supporting examples from a variety of fields. - Utilizes real datasets to illustrate Bayesian models and their results - Guides readers on coding Bayesian models using the statistical software R, including a helpful introduction and supporting online resource - Appropriate for an undergraduate statistics course, as well as for non-statisticians with sufficient mathematical background (integral and differential Calculus and an introductory Statistics course) - Covers any more advanced topics which readers may not be familiar with, such as the basic idea of vectors and matrices＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,238円
Forecasting International Migration in Europe: A Bayesian View【電子書籍】[ Jakub Bijak ] 楽天Kobo電子書籍ストア	＜p＞International migration is becoming an increasingly important element of contemporary demographic dynamics and yet, due to its high volatility, it remains the most unpredictable element of population change. In Europe, population forecasting is especially difficult because good-quality data on migration are lacking. There is a clear need for reliable methods of predicting migration since population forecasts are indispensable for rational decision making in many areas, including labour markets, social security or spatial planning and organisation. In addressing these issues, this book adopts a Bayesian statistical perspective, which allows for a formal incorporation of expert judgement, while describing uncertainty in a coherent and explicit manner. No prior knowledge of Bayesian statistics is assumed. The outcomes are discussed from the point of view of forecast users (decision makers), with the aim to show the relevance and usefulness of the presented methods in practical applications.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	12,154円
Bayesian Inference in the Social Sciences【電子書籍】楽天Kobo電子書籍ストア	＜p＞＜strong＞Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance＜/strong＞＜/p＞＜p＞Emphasizing interdisciplinary coverage, ＜em＞Bayesian Inference in the Social Sciences＜/em＞ builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social sciences and facilitates the transmission of new ideas and methodology across disciplines while maintaining manageability, coherence, and a clear focus.＜/p＞＜p＞＜em＞Bayesian Inference in the Social Sciences＜/em＞ features innovative methodology and novel applications in addition to new theoretical developments and modeling approaches, including the formulation and analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation of empirical likelihood and method of moment estimators, and the analysis of treatment effect models with endogeneity. The book emphasizes practical implementation, reviews and extends estimation algorithms, and examines innovative applications in a multitude of fields. Time series techniques and algorithms are discussed for stochastic volatility, dynamic factor, and time-varying parameter models. Additional features include:＜/p＞＜ul＞＜li＞Real-world applications and case studies that highlight asset pricing under fat-tailed distributions, price indifference modeling and market segmentation, analysis of dynamic networks, ethnic minorities and civil war, school choice effects, and business cycles and macroeconomic performance＜/li＞＜li＞State-of-the-art computational tools and Markov chain Monte Carlo algorithms with related materials available via the book’s supplemental website＜/li＞＜li＞Interdisciplinary coverage from well-known international scholars and practitioners＜/li＞＜/ul＞＜p＞＜em＞Bayesian Inference in the Social Sciences＜/em＞ is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies. The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation, numerical methods, computational analysis, and the social sciences.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	17,059円
Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models【電子書籍】楽天Kobo電子書籍ストア	＜p＞This book investigates several competing forecasting models for interest rates, financial returns, and realized volatility, addresses the usefulness of nonlinear models for hedging purposes, and proposes new computational techniques to estimate financial processes.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,076円
Applied Bayesian Modelling【電子書籍】[ Peter Congdon ] 楽天Kobo電子書籍ストア	＜p＞This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	12,206円
Bayesian Statistics The Basics【電子書籍】[ Thomas J. Faulkenberry ] 楽天Kobo電子書籍ストア	＜p＞＜em＞Bayesian Statistics: The Basics＜/em＞ provides a comprehensive yet accessible introduction to Bayesian statistics, specifically tailored for any researcher with an interest in statistical methods. It covers the theoretical foundations of Bayesian inference, contrasting it with classical statistical methods like null hypothesis significance testing. The book emphasizes key concepts such as prior and posterior distributions, Bayes’ theorem, and the Bayes factor, making them understandable even for readers with minimal mathematical backgrounds.＜/p＞＜p＞Methodologically, the book offers practical, step-by-step guides on how to conduct Bayesian analyses using the free software package JASP. Each chapter focuses on applying Bayesian methods to common research designs with real-world data. Readers will benefit from the clear examples, visualizations, and JASP screenshots that ensure the learning experience is interactive and easy to follow.＜/p＞＜p＞Full of practical content, the book emphasizes the advantages of Bayesian model comparison over traditional approaches, especially in quantifying evidence for competing hypotheses. Readers will also learn how to perform sensitivity analyses to assess the impact of different prior assumptions on their results.＜/p＞＜p＞By the end of the book, readers will get both the theoretical understanding and practical skills to implement Bayesian methods in their own research, making it an invaluable resource for both novice and experienced researchers studying Bayesian statistics.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,547円
Bayesian Methods for Repeated Measures【電子書籍】[ Lyle D. Broemeling ] 楽天Kobo電子書籍ストア	＜p＞Analyze Repeated Measures Studies Using Bayesian TechniquesGoing beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for analyzing repeated measures in various scientific areas,＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	13,982円
An Introduction to Bayesian Inference, Methods and Computation【電子書籍】[ Nick Heard ] 楽天Kobo電子書籍ストア	＜p＞These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	8,507円
Bayesian Nonparametric Data Analysis【電子書籍】[ Peter M?ller ] 楽天Kobo電子書籍ストア	＜p＞This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book’s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.＜/p＞＜p＞The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	14,585円
Case Studies in Bayesian Statistical Modelling and Analysis【電子書籍】楽天Kobo電子書籍ストア	＜p＞＜strong＞Provides an accessible foundation to Bayesian analysis using real world models＜/strong＞＜/p＞＜p＞This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches.＜/p＞＜p＞＜em＞Case Studies in Bayesian Statistical Modelling and Analysis＜/em＞:＜/p＞＜ul＞＜li＞Illustrates how to do Bayesian analysis in a clear and concise manner using real-world problems.＜/li＞＜li＞Each chapter focuses on a real-world problem and describes the way in which the problem may be analysed using Bayesian methods.＜/li＞＜li＞Features approaches that can be used in a wide area of application, such as, health, the environment, genetics, information science, medicine, biology, industry and remote sensing.＜/li＞＜/ul＞＜p＞＜em＞Case Studies in Bayesian Statistical Modelling and Analysis＜/em＞ is aimed at statisticians, researchers and practitioners who have some expertise in statistical modelling and analysis, and some understanding of the basics of Bayesian statistics, but little experience in its application. Graduate students of statistics and biostatistics will also find this book beneficial.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	13,240円
Bayesian Models of the Mind【電子書籍】[ Michael Rescorla ] 楽天Kobo電子書籍ストア	＜p＞Bayesian decision theory is a mathematical framework that models reasoning and decision-making under uncertain conditions. The Bayesian paradigm originated as a theory of how people should operate, not a theory of how they actually operate. Nevertheless, cognitive scientists increasingly use it to describe the actual workings of the human mind. Over the past few decades, cognitive science has produced impressive Bayesian models of mental activity. The models postulate that certain mental processes conform, or approximately conform, to Bayesian norms. Bayesian models offered within cognitive science have illuminated numerous mental phenomena, such as perception, motor control, and navigation. This Element provides a self-contained introduction to the foundations of Bayesian cognitive science. It then explores what we can learn about the mind from Bayesian models offered by cognitive scientists.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,100円
Advancements in Bayesian Methods and Implementations【電子書籍】[ Alastair G Young ] 楽天Kobo電子書籍ストア	＜p＞Advancements in Bayesian Methods and Implementation, Volume 47 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Fisher Information, Cramer-Rao and Bayesian Paradigm, Compound beta binomial distribution functions, MCMC for GLMMS, Signal Processing and Bayesian, Mathematical theory of Bayesian statistics where all models are wrong, Machine Learning and Bayesian, Non-parametric Bayes, Bayesian testing, and Data Analysis with humans, Variational inference or Functional horseshoe, Generalized Bayes. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Handbook of Statistics series - Updated release includes the latest information on Advancements in Bayesian Methods and Implementation＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	26,434円