Bayesian Analysis

This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear...

The Baseball Mysteries: Challenging Puzzles for Logical Detectives is a book of baseball puzzles, logical baseball puzzles. To jump in, all you need is logic and a casual fan's knowledge of the game. The puzzles are solved by reasoning from the rules of...

This book presents an algebraic development of the theory of countable state space Markov chains with discrete- and continuous-time parameters. A Markov chain is a stochastic process characterized by the Markov prop erty that the distribution of future...

Emphasizing fundamental mathematical ideas rather than proofs, Introduction to Stochastic Processes, Second Edition provides quick access to important foundations of probability theory applicable to problems in many fields. Assuming that you have a...

Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of...

Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topics-statistical models, linear normal models, exponential families,...

Over the past few decades, the life sciences have experienced an analytical revolution. With powerful computers now widely available, students and researchers are expected to perform increasingly advanced statistical analyses--previously the domain of...

Several recent advances in smoothing and semiparametric regression are presented in this book from a unifying, Bayesian perspective. Simulation-based full Bayesian Markov chain Monte Carlo (MCMC) inference, as well as empirical Bayes procedures closely...

The vast majority of random processes in the real world have no memory - the next step in their development depends purely on their current state. Stochastic realizations are therefore defined purely in terms of successive event-time pairs, and such...

Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting...

This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level...

This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show readers: Bayesian thinking isn't difficult and can be used in virtually every kind of research. In addition to revealing the underlying simplicity of...

Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781921934254Author Borek PuzaFormat PaperbackPage Count 698Imprint ANU PressPublisher ANU Press

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788792130051Author Alan HajekFormat PaperbackPage Count 216Imprint Automatic Press / VIPPublisher Automatic Press / VIPWeight(grams) 281g

This book first provides a review of various aspects of Bayesian statistics. It then investigates three types of claims reserving models in the Bayesian framework: chain ladder models, basis expansion models involving a tail factor, and multivariate...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781941043127Author Jared M MaruskinFormat PaperbackPage Count 356Imprint Cayenne Canyon PressPublisher Cayenne Canyon PressWeight(grams) 499g

This book provides a self-contained introduction of Stein/shrinkage estimation for the mean vector of a multivariate normal distribution. The book begins with a brief discussion of basic notions and results from decision theory such as admissibility,...

This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level...

This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers...

Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781039151871Author Dean BrooksFormat PaperbackPage Count 896Imprint FriesenPressPublisher FriesenPressWeight(grams) 2032g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781647430405Author Peter HollinsFormat PaperbackPage Count 258Imprint Pkcs Media, Inc.Publisher Pkcs Media, Inc.Weight(grams) 259gDimensions(mm) 203mm *...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9783836498050Author Christoph PammingerFormat PaperbackImprint VDM Verlag Dr. Mueller E.K.Publisher VDM Verlag Dr. Mueller E.K.Weight(grams) 245g

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Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training;...

With the boom of big data and machine learning and the subsequent need for parallel processing technologies, fork-join queues are more relevant now than ever before. In this book, new estimates of the average response time in fork-join queues are...

This book aims to justify the use of fuzzy logic as a logic and as an uncertainty theory in the decision-making context. It also discusses the development of the TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) with...

The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781039151888Author Dean BrooksFormat HardbackPage Count 896Imprint FriesenPressPublisher FriesenPressWeight(grams) 2336gDimensions(mm) 279mm * 216mm * 48mm

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788119177103Author Keiko NakamuraFormat PaperbackPage Count 196Imprint GitforgitsPublisher GitforgitsWeight(grams) 345g

Provides an introduction to decision analysis. This book is based upon a number of papers and articles taken from the Operational Research Society's journal and other publications. However, the book is not simply a 'collection of reprints': Professor...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789286673054Author Kawsar FatimaFormat PaperbackPage Count 146Imprint Independent AuthorPublisher Independent AuthorWeight(grams) 204g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781312800366Author Christopher GrecoFormat PaperbackPage Count 148Imprint Lulu.comPublisher Lulu.comWeight(grams) 227g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9782759822744Author Didier Fraix‐burnetFormat PaperbackPage Count 140Imprint EDP SciencesPublisher EDP SciencesWeight(grams) 272g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9785747862999Author Richa SrivastavaFormat PaperbackPage Count 118Imprint Independent AuthorPublisher Independent AuthorWeight(grams) 168g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781925997583Author Arthur TaffFormat PaperbackPage Count 78Imprint Venture InkPublisher Venture InkWeight(grams) 127g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781647430412Author Peter HollinsFormat HardbackPage Count 214Imprint Pkcs Media, Inc.Publisher Pkcs Media, Inc.Weight(grams) 340gDimensions(mm) 203mm *...

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making...

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...