Bayes Theory by J A Hartigan

Bayes Theory by J A Hartigan

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Summary

vii Contents CHAPTER 1 Theories of Probability 1. Introduction 1 1. Logical Theories: Laplace 1 1. Logical Theories: Keynes and Jeffreys 2 1. Empirical Theories: Von Mises 3 1. Empirical Theories: Kolmogorov 5 1. Empirical Theories: Falsifiable Models 5 1. Subjective Theories: De Finetti 6 7 1. Subjective Theories: Good 8 1.

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Bayes Theory by J A Hartigan

This book is based on lectures given at Yale in 1971-1981 to students prepared with a course in measure-theoretic probability. It contains one technical innovation-probability distributions in which the total probability is infinite. Such improper distributions arise embarras- singly frequently in Bayes theory, especially in establishing correspondences between Bayesian and Fisherian techniques. Infinite probabilities create interesting complications in defining conditional probability and limit concepts. The main results are theoretical, probabilistic conclusions derived from probabilistic assumptions. A useful theory requires rules for constructing and interpreting probabilities. Probabilities are computed from similarities, using a formalization of the idea that the future will probably be like the past. Probabilities are objectively derived from similarities, but similarities are sUbjective judgments of individuals. Of course the theorems remain true in any interpretation of probability that satisfies the formal axioms. My colleague David Potlard helped a lot, especially with Chapter 13. Dan Barry read proof. vii Contents CHAPTER 1 Theories of Probability 1. 0. Introduction 1 1. 1. Logical Theories: Laplace 1 1. 2. Logical Theories: Keynes and Jeffreys 2 1. 3. Empirical Theories: Von Mises 3 1. 4. Empirical Theories: Kolmogorov 5 1. 5. Empirical Theories: Falsifiable Models 5 1. 6. Subjective Theories: De Finetti 6 7 1. 7. Subjective Theories: Good 8 1. 8. All the Probabilities 10 1. 9. Infinite Axioms 11 1. 10. Probability and Similarity 1. 11. References 13 CHAPTER 2 Axioms 14 2. 0. Notation 14 2. 1. Probability Axioms 14 2. 2.
"Hartigan provides a carefully referenced discussion that contains both supporting concepts as well as a presentation of Bayes theory"
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SKU Unavailable
ISBN 13 9781461382447
ISBN 10 1461382440
Title Bayes Theory
Author J A Hartigan
Series Springer Series In Statistics
Condition Unavailable
Binding Type Paperback
Publisher Springer-Verlag New York Inc.
Year published 2011-10-24
Number of pages 146
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.