Bayesian Analysis

This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices...

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...

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) 499gDimensions(mm)...

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

This book introduces stochastic processes and their applications for students in engineering, industrial statistics, science, operations research, business, and finance. It provides the theoretical foundations for modeling time-dependent random phenomena...

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

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 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 9781925997583Author Arthur TaffFormat PaperbackPage Count 78Imprint Venture InkPublisher Venture InkWeight(grams) 127gDimensions(mm) 229mm * 152mm * 5mm

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...

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic...

This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world...

Improvements in safety in the air and in space can be achieved through better ergonomics, better work environments, and other efforts of traditional avionic psychology that directly affect human behaviors and performance. Not limited to just the...

Discrete phenomena are an important aspect of various complex systems, acting both as underlying driving mechanisms and as manifestations of diverse behaviours. However, the characterisation of these discrete phenomena requires models that go beyond...

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting. The frameworks draw on recent advances in statistical methodology to provide new tools for tackling challenges such...

A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering and economics The Bayesian Way offers a basic introduction to statistics that emphasizes the Bayesian...

This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this "new" approach to the quantification of uncertainty are presented using examples...

This volume consists of a collection of research articles on classical and emerging Statistical Paradigms - parametric, non-parametric and semi-parametric, frequentist and Bayesian - encompassing both theoretical advances and emerging applications in a...

This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of...

Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and...

Continues to focuses specifically on probability rather than probability and statistics Offers a conversational presentation rather than theorem/proof and includes examples based on engineering applications as it highlights Excel computations Presents a...

Provides an accessible foundation to Bayesian analysis using real world models 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...