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Introduction to statistical decision theory : utility theory and causal analysis / / Silvia Bacci, Bruno Chiandotto



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Autore: Bacci Silvia Visualizza persona
Titolo: Introduction to statistical decision theory : utility theory and causal analysis / / Silvia Bacci, Bruno Chiandotto Visualizza cluster
Pubblicazione: Boca Raton, FL : , : CRC Press, , 2020
©2020
Descrizione fisica: 1 online resource (305 pages)
Disciplina: 519.542
Soggetto topico: Statistical decision
Decision making
Persona (resp. second.): ChiandottoBruno
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: 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
Titolo autorizzato: Introduction to statistical decision theory  Visualizza cluster
ISBN: 1-351-62138-6
1-315-11222-1
1-351-62139-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910793769503321
Lo trovi qui: Univ. Federico II
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