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Introduction to statistical decision theory: utility theory and causal analysis/ Silvia Bacci and Bruno Chiandotto

By: Contributor(s): Publication details: Boca Raton: CRC Press, 2020Description: xvi, 287 pages, 24 cmISBN:
  • 9781138083561
Subject(s): DDC classification:
  • 23 SA.161 B116
Contents:
1. Statistics and decisions -- 2. Probability and statistical inference -- 3. Utility theory -- 4. Utility function elicitation -- 5. Classical and Bayesian statistical decision theory -- 6. Statistics causality and decisions
Summary: 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.
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Includes bibliographical references and index

1. Statistics and decisions -- 2. Probability and statistical inference -- 3. Utility theory -- 4. Utility function elicitation -- 5. Classical and Bayesian statistical decision theory -- 6. Statistics causality and decisions

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.

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