Introduction to Markov Chains by Ehrhard Behrends

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Introduction to Markov Chains by Ehrhard Behrends

The aims of this book are threefold:
We start with a naive description of a Markov chain as a memoryless random walk on a finite set. This is complemented by a rigorous definition in the framework of probability theory, and then we develop the most important results from the theory of homogeneous Markov chains on finite state spaces.
Chains are called rapidly mixing if all of the associated walks, regardles of where they started, behave similarly already after comparitively few steps: it is impossible from observing the chain to get information on the starting position or the number of steps done so far. We will thoroughly study methods which have been proposed in the last decades to investigate this phenomenon.
A number of examples will be studied to indicate how the methods treated in this book can be applied.
Ehrhard Behrends ist Professor fü¾˜¶˜¼r Mathematik an der FU Berlin. Er ist Autor und Herausgeber von zahlreichen Fachbü¾˜¶˜¼chern und populü¾†”¼rwissenschaftlichen Bü¾˜¶˜¼chern in der Mathematik.
SKU Unavailable
ISBN 13 9783528069865
ISBN 10 3528069864
Title Introduction to Markov Chains
Author Ehrhard Behrends
Series Advanced Lectures In Mathematics
Condition Unavailable
Binding Type Paperback
Publisher Springer Fachmedien Wiesbaden
Year published 1999-11-29
Number of pages 234
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.