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Pattern Theory - The Stochastic Analysis of Real-World Signals | David Mumford • David Mumford • Agnès Desolneaux • Agnès Desolneaux
Pattern Theory - The Stochastic Analysis of Real-World Signals | David Mumford • David Mumford • Agnès Desolneaux • Agnès Desolneaux

Pattern Theory - The Stochastic Analysis of Real-World Signals

Publié par A K Peters, le 01 janvier 2010

408 pages

Résumé

Pattern Theory, pioneered by Ulf Grenander, is a distinctive approach to the analysis of all forms of real-world signals. At its core is the design of a large variety of probabilistic models whose samples reproduce the look and feel of the real signals, their patterns, and their variability. Bayesian statistical inference then allows you to apply these models in the analysis of new signals. This book treats the mathematical tools, the models themselves, and the computational algorithms for applying statistics to analyze six representative classes of signals of increasing complexity.

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