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# Introduction To Statistical Decision Theory: Utility Theory And Causal Analysis

*Silvia Bacci, Bruno Chiandotto*

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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 uncertainty Illustrates expected utility theory and its extensions Describes approaches to elicit the utility function Reviews classical and Bayesian approaches to statistical inference based on decision theory Discusses the role of causal analysis in statistical decision theory.

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Year:

2020

Edition:

1st

Publisher:

Chapman and Hall/CRC Press/Taylor & Francis Group

Language:

english

Pages:

305

ISBN 10:

1351621386

ISBN 13:

9781351621380

File:

PDF, 4.15 MB

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IPFS:

CID , CID Blake2b

english, 2020

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