Description: Bayes Theory by J.A. Hartigan Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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. Details ISBN 1461382440 ISBN-13 9781461382447 Title Bayes Theory Author J.A. Hartigan Format Paperback Year 2011 Pages 146 Publisher Springer-Verlag New York Inc. GE_Item_ID:137856663; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
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ISBN-13: 9781461382447
Book Title: Bayes Theory
Number of Pages: Xii, 146 Pages
Language: English
Publication Name: Bayes Theory
Publisher: Springer New York
Publication Year: 2011
Item Height: 0.1 in
Subject: Probability & Statistics / General, Applied
Item Weight: 9 Oz
Type: Textbook
Author: J. A. Hartigan
Item Length: 9.3 in
Subject Area: Mathematics
Item Width: 6.1 in
Series: Springer Series in Statistics Ser.
Format: Trade Paperback