Probability Theory, Statistics, Mathematics - Sets, General Topology, & Categories, Mathematics - Applied, Statistical Physics
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A treatment of the theory of Gibbs measures and Markov random fields for mathematicians and physicists interested in the applications of probability and statistics of random processes. Takes an intuitive approach to most of the concepts, but maintains mathematical rigor where necessary. Presents a historical survey with most of the classical results, more recent developments such as the Pirogov-Sinai theorem and positive reflexivity, and possible applications in such fields as image processing and optimization. First published in French in 1986. Annotation c. Book News, Inc., Portland, OR (booknews.com)Book Details
Published
December 1, 1990
Publisher
Springer-Verlag New York, LLC
Pages
229
Format
Hardcover
ISBN
9780792310693