Markov Chains / Edition 1

by J. R. Norris

Overview

In this rigorous account the author studies both discrete-time and continuous-time chains. A distinguishing feature is an introduction to more advanced topics such as martingales and potentials, in the established context of Markov chains. There are applications to simulation, economics, optimal control, genetics, queues and many other topics, and a careful selection of exercises and examples drawn both from theory and practice. This is an ideal text for seminars on random processes or for those that are more oriented towards applications, for advanced undergraduates or graduate students with some background in basic probability theory.

Product Details

ISBN-13:	9780521633963
Publisher:	Cambridge University Press
Publication date:	07/28/1998
Series:	Cambridge Series in Statistical and Probabilistic Mathematics , #2
Edition description:	First Paperback Edition
Pages:	254
Product dimensions:	7.01(w) x 10.00(h) x 0.71(d)

Table of Contents

Introduction; 1. Discrete-time Markov chains; 2. Continuous-time Markov chains I; 3. Continuous-time Markov chains II; 4. Further theory; 5. Applications; Appendix; Probability and measure; Index.

Editorial Reviews

"...impressive ....I heartily recommend this book....this is the best book available summarizing the theory of Markov Chains....Norris achieves for Markov Chains what Kingman has so elegantly achieved for Poisson processes....Such creative tinkering will be a pleasure to many teachers." Bulletin of Mathematical Biology

From the Publisher