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Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis
Paperback
General ReferenceProbability & Statistics
ISBN13: 9781032091754
Publisher: CRC Press
Published: Jun 30 2021
Pages: 304
Weight: 1.10
Height: 0.70 Width: 6.10 Depth: 9.20
Language: English
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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