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{
"item_title" : "Introduction to Statistical Decision Theory",
"item_author" : [" Silvia Bacci", "Bruno Chiandotto "],
"item_description" : "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.FeaturesCovers approaches for making decisions under certainty, risk, and uncertaintyIllustrates expected utility theory and its extensionsDescribes approaches to elicit the utility functionReviews classical and Bayesian approaches to statistical inference based on decision theoryDiscusses the role of causal analysis in statistical decision theory",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/13/808/356/1138083569_b.jpg",
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"retail_price" : "189.99", "online_price" : "189.99", "our_price" : "189.99", "club_price" : "189.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
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Introduction to Statistical Decision Theory : Utility Theory and Causal Analysis
by Silvia Bacci and Bruno Chiandotto
Other Available Formats
Overview
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
This item is Non-Returnable
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Details
- ISBN-13: 9781138083561
- ISBN-10: 1138083569
- Publisher: CRC Press
- Publish Date: July 2019
- Dimensions: 9.4 x 6.1 x 0.9 inches
- Shipping Weight: 1.25 pounds
- Page Count: 304
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