Bayesian theory
著者
書誌事項
Bayesian theory
（Wiley series in probability and mathematical statistics, . Probability and mathematical statistics）
John Wiley & Sons, c1994
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注記
Includes bibliography (p.[489]-554) and indexes
内容説明・目次
内容説明
This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics
目次
Foundations.
Generalisations.
Modelling.
Inference.
Remodelling.
Appendices.
References.
Indexes.
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