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Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding (Probability Theory and Stochastic Modelling)

Pierre Brémaud




[PDF.si95] Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding (Probability Theory and Stochastic Modelling)

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 | #542046 in Books |  Ingramcontent |  2017-02-16 | Original language:English | PDF # 1 |  9.53 x1.38 x6.33l,.0 | File type: PDF | 559 pages

 | Discrete Probability Models and Methods Probability on Graphs and Trees Markov Chains and Random Fields Entropy and Coding Probability Theory and Stochastic Modelling

|| |“This is a comprehensive volume on the application of discrete probability to combinatorics, information theory, and related fields. It is accessible for first-year graduate students. … Results are easy to find and reasonably easy to understand. &

The emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods (the probabilistic method, the coupling method, the Stein-Chen method, martingale methods, the method of types) and versatile tools (Chernoff's bound, Hoeffding's inequality, Holley's inequality) whose domain of application extends far beyond the present text. Although the examples treated in the book relate to the possible applications, in the commun...

You easily download any file type for your device.Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding (Probability Theory and Stochastic Modelling)   |  Pierre Brémaud. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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