Introduction to Statistical Decision Theory
Utility Theory and Causal Analysis
Silvia Bacci author Bruno Chiandotto author
Format:Paperback
Publisher:Taylor & Francis Ltd
Published:30th Jun '21
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£105.00(9781138083561)
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
"A major strength of the book is its linking of decision theory to real-world examples and behaviors, outlining the limitations and alternatives to normative decision theory, while also stressing its strengths and appropriateness in a vast array of situations. Such discussion is particularly valuable in the context of practical applications that imply utility elicitation from individuals. A second major strength is the presence of detailed worked out examples, as well as case studies from either the authors’ experience or the literature. As core probability and statistical concepts are reviewed in the earlier chapters, the book is suitable for both students and graduates with a quantitative, although not necessarily statistical, background. The balance between the theoretical exposition and the practical applicability of the concepts makes this book particularly appealing to readers aiming to gain insight into the decision theoretic field for both personal and professional purposes."
- Silvia Calderazzo, Appeared in Biometrical Journal, July 2020
ISBN: 9781032091754
Dimensions: unknown
Weight: 453g
304 pages