Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding

Resource Information

The work Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.

Label

Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding

Title remainder

Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding

Statement of responsibility

by Pierre Brémaud

Creator

• Brémaud, Pierre

Subject

• Coding theory
• Computer Communication Networks
• Computer communication systems
• Graph Theory
• Graph theory
• Mathematical statistics
• Mathematics
• Probabilities
• Probability Theory and Stochastic Processes
• Probability and Statistics in Computer Science
• Coding and Information Theory

Language

eng

Summary

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.--

Member of

• Probability Theory and Stochastic Modelling,, 78
• Springer eBooks, Mathematics and Statistics Collection

Assigning source

Provided by publisher

Image bit depth

0

Literary form

non fiction

Nature of contents

dictionaries

Series statement

• Springer eBooks
• Probability Theory and Stochastic Modelling,

Series volume

78