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Discrete Probability Models and Methods - Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding (Paperback, Softcover reprint of the original 1st ed. 2017)
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Discrete Probability Models and Methods - Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding (Paperback, Softcover reprint of the original 1st ed. 2017)
Series: Probability Theory and Stochastic Modelling, 78
Expected to ship within 10 - 15 working days
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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 communication and computing sciences, in
operations research and in physics, this book is in the first
instance concerned with theory. The level of the book is that of a
beginning graduate course. It is self-contained, the prerequisites
consisting merely of basic calculus (series) and basic linear
algebra (matrices). The reader is not assumed to be trained in
probability since the first chapters give in considerable detail
the background necessary to understand the rest of the book.
General
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