02219oam 2200469I 450 991079376950332120190820011803.01-351-62138-61-315-11222-11-351-62139-4(CKB)4100000008701571(MiAaPQ)EBC5824690(OCoLC)1108619516(OCoLC-P)1108619516(FlBoTFG)9781315112220(EXLCZ)99410000000870157120190715h20202020 uy 0engurcnu---unuuutxtrdacontentcrdamediacrrdacarrierIntroduction to statistical decision theory utility theory and causal analysis /Silvia Bacci, Bruno ChiandottoBoca Raton, FL :CRC Press,2020.©20201 online resource (305 pages)1-138-08356-9 Includes bibliographical references and index.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 theoryStatistical decisionDecision makingStatistical decision.Decision making.519.542Bacci Silvia769875Chiandotto BrunoOCoLC-POCoLC-PBOOK9910793769503321Introduction to statistical decision theory3715890UNINA