Includes bibliographical references (pages 169-172) and index.
An introduction to Bayes' rule -- Bayes' rule in pictures -- Discrete parameter values -- Continuous parameter values -- Gaussian parameter estimation -- A bird's eye view of Bayes' rule -- Bayesian wars -- Appendices. A. Glossary ; B. Mathematical symbols ; C. The rules of probability ; D. Probability density functions ; E. The binomial distribution ; F. The Gaussian distribution ; G. Least-squares estimation ; H. Reference priors.
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"Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of commonsense reasoning. Bayes' rule is derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for the novice who wishes to become familiar with the basic principles of Bayesian analysis."--Publisher's description.