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.
| ISBN: | 9783319828350 |
| Publication date: | 13th July 2018 |
| Author: | Pierre Brémaud |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 559 pages |
| Series: | Probability Theory and Stochastic Modelling |
| Genres: |
Probability and statistics Stochastics Maths for computer scientists Network hardware Combinatorics and graph theory Information theory Coding theory and cryptology |
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.
Discrete Probability Models and Methods features in the following genres: Probability and statistics, Stochastics, Maths for computer scientists, Network hardware, Combinatorics and graph theory, Information theory, Coding theory and cryptology
Discrete Probability Models and Methods is available in Paperback
Discrete Probability Models and Methods was written by Pierre Brémaud and published by Springer an imprint of Springer International Publishing
Discrete Probability Models and Methods has 559 pages
Yes it is part of Probability Theory and Stochastic Modelling series
£62.99