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Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs;
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A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible;
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with chapter exercises. Introduction to Bayesian Statistics, Third Edition also features: * Topics including the Joint Likelihood function and;
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This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition;
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Elementary Bayesian Statistics is a thorough and easily accessible introduction to the theory and practical application of Bayesian;
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Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to;
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Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to;
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A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like;
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Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation;
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This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free;
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Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic;
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A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely;
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An essential introductory text linking traditional biostatistics with bayesian methods In recent years, Bayesian methods have seen an;
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presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom;
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This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic;
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subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social;
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introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not;
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combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the;
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Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian;
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Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that;
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Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that;
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HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach, Bayesian Methods for;
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of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;
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of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;
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problems, from new product introduction to pricing, and with a wide variety of different data sources. Bayesian Statistics and Marketing describes;
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provides basic introductions for students, researchers, and users of Bayesian statistics, as well as applied mathematicians. Author;
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Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more;
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