Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

1st Edition

Silvia Bacci, Bruno Chiandotto

Chapman and Hall/CRC
Published July 8, 2019
Reference - 287 Pages - 45 B/W Illustrations
ISBN 9781138083561 - CAT# K34535

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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.

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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