Introduction To Markov Chains
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Introduction to Markov Chains
Author: Ehrhard Behrends
language: en
Publisher: Vieweg+Teubner Verlag
Release Date: 2014-07-08
Besides the investigation of general chains the book contains chapters which are concerned with eigenvalue techniques, conductance, stopping times, the strong Markov property, couplings, strong uniform times, Markov chains on arbitrary finite groups (including a crash-course in harmonic analysis), random generation and counting, Markov random fields, Gibbs fields, the Metropolis sampler, and simulated annealing. With 170 exercises.
An Introduction to Markov Processes
Author: Daniel W. Stroock
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-11-23
Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding sophisticated measure theory Leads the reader to a rigorous understanding of basic theory
Introduction to the Numerical Solution of Markov Chains
Author: William J. Stewart
language: en
Publisher: Princeton University Press
Release Date: 1994-12-04
Markov Chains -- Direct Methods -- Iterative Methods -- Projection Methods -- Block Hessenberg Matrices -- Decompositional Methods -- LI-Cyclic Markov -- Chains -- Transient Solutions -- Stochastic Automata Networks -- Software.