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The Bayesian Choice : A Decision-Theoretic Motivation
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Decision-Theoretic Foundations of Statistical Inference
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Chapter 3
From Prior Information to Prior Distributions
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Chapter 4
Bayesian Point Estimation
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Chapter 5
Tests and Confidence Regions
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Chapter 6
Admissibility and Complete Classes
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Chapter 7
Invariance, Haar Measures, and Equivariant Estimators
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Chapter 8
Hierarchical and Empirical Bayes Extensions
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Chapter 9
Bayesian Calculations
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Chapter 10
A Defense of the Bayesian Choice
Overall attention for this book and its chapters
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Mentioned by
blogs
1
blog
syllabi
4
institutions with syllabi
Book overview
1. Introduction
2. Decision-Theoretic Foundations of Statistical Inference
3. From Prior Information to Prior Distributions
4. Bayesian Point Estimation
5. Tests and Confidence Regions
6. Admissibility and Complete Classes
7. Invariance, Haar Measures, and Equivariant Estimators
8. Hierarchical and Empirical Bayes Extensions
9. Bayesian Calculations
10. A Defense of the Bayesian Choice
Summary
Blogs
Syllabi
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
5
syllabi from
4
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Banaras Hindu University
1
Unknown
Iowa State University
1
Unknown
University of Wisconsin-Madison
1
Business
Unknown
2
Economics, Business, English, Engineering