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.

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis / Bacci Silvia; Chiandotto Bruno. - STAMPA. - (2019).

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

Bacci Silvia;Chiandotto Bruno
2019

Abstract

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.
2019
9781138083561
Bacci Silvia; Chiandotto Bruno
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1160762
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