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Introduction to Statistical Decision Theory
Utility Theory and Causal Analysis
Silvia Bacci, Bruno Chiandotto
Livre relié | Anglais
141,95 €
+ 283 points
Format
Description
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
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 304
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9781138083561
- Date de parution :
- 08-07-19
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 155 mm x 239 mm
- Poids :
- 566 g
