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(Ebook) Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis by Silvia Bacci, Bruno Chiandotto ISBN 9781138083561, 1138083569

  • SKU: EBN-11035436
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Authors:Silvia Bacci, Bruno Chiandotto
Pages:303 pages.
Year:2019
Editon:1
Publisher:Chapman and Hall/CRC
Language:english
File Size:4.16 MB
Format:pdf
ISBNS:9781138083561, 1138083569
Categories: Ebooks

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(Ebook) Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis by Silvia Bacci, Bruno Chiandotto ISBN 9781138083561, 1138083569

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory.Features Covers approaches for making decisions under certainty, risk, and uncertaintyIllustrates expected utility theory and its extensionsDescribes approaches to elicit the utility functionReviews classical and Bayesian approaches to statistical inference based on decision theoryDiscusses the role of causal analysis in statistical decision theory
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