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Estimation of Probabilities An Essay on Modern Bayesian Methods

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ISBN-10: 0262570157

ISBN-13: 9780262570152

Edition: 2003

Authors: Irving John Good

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Description:

The problem of how to estimate probabilities has interested philosophers, statisticians, actuaries, and mathematicians for a long time. It is currently of interest for automatic recognition, medical diagnosis, and artificial intelligence in general. The main purpose of this monograph is to review existing methods, especially those that are new or have not been written up in a connected manner. The need for nontrivial theory arises because our samples are usually too small for us to rely exclusively on the frequency definition of probability. Most of the techniques described in this book depend on a modern Bayesian approach. The maximum-entropy principle, also relevant to this discussion, is…    
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Book details

Copyright year: 2003
Publisher: MIT Press
Publication date: 3/17/2003
Binding: Paperback
Pages: 109
Size: 5.39" wide x 8.46" long x 0.33" tall
Weight: 0.814
Language: English

Foreword
Preface
Introduction
Kinds of Probability
Simple Sampling
Multiple Sampling
Multinomial Discrimination and Significance
Tests for Independence in Contingency Tables
Large Pure Contingency Tables
The Sampling of Species
Multidimensional Population Contingency Tables
Summary
The Incompatibility of Fiducial and Bayesian Inference
Hausdorff Summation as a Monte Carlo Process
Folded Contingency Tables
A Minimax Property of Singular Values of a Matrix
Learning from Experience in the Treatment of Contingency Tables
References
Index