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