Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis
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- Synopsis
- 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
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 287 Pages
- ISBN-13:
- 9781351621380
- Related ISBNs:
- 9781138083561, 9781315112220, 9781351621373, 9781032091754, 9781351621397
- Publisher:
- CRC Press
- Date of Addition:
- 04/15/24
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.