Introduction to Statistical Decision Theory - Utility Theory and Causal Analysis (Paperback)

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

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	June 2021
First published:	2020
Authors:	Silvia Bacci • Bruno Chiandotto
Dimensions:	234 x 156 x 24mm (L x W x T)
Format:	Paperback
Pages:	304
ISBN-13:	978-1-03-209175-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Econometrics > Economic statistics Promotions
LSN:	1-03-209175-4
Barcode:	9781032091754

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