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