By Pierre Brémaud
The emphasis during this e-book is put on common types (Markov chains, random fields, random graphs), common equipment (the probabilistic procedure, the coupling technique, the Stein-Chen strategy, martingale equipment, the strategy of varieties) and flexible instruments (Chernoff's sure, Hoeffding's inequality, Holley's inequality) whose area of software extends a long way past the current textual content. even supposing the examples taken care of within the booklet relate to the potential functions, within the communique and computing sciences, in operations study and in physics, this booklet is within the first example all in favour of conception.
the extent of the booklet is that of a starting graduate path. it's self-contained, the must haves consisting in simple terms of simple calculus (series) and simple linear algebra (matrices). The reader isn't really assumed to learn in likelihood because the first chapters supply in enormous aspect the history essential to comprehend the remainder of the book.
Read Online or Download Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding (Probability Theory and Stochastic Modelling) PDF
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Extra resources for Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding (Probability Theory and Stochastic Modelling)