An introduction to Markov processes /

An introduction to Markov processes /

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Bibliographic Details
Author / Creator:Stroock, Daniel W., author.
Edition:Second edition.
Imprint:Berlin ; New York : Springer, 2014.
Description:1 online resource (xvii, 203 pages).
Language:English
Series:Graduate texts in mathematics, 0072-5285
Graduate texts in mathematics.
Subject:
Markov processes.
Markov processes.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/9853771
Hidden Bibliographic Details
ISBN:9783642405235 (electronic bk.)
3642405231 (electronic bk.)
9783642405228
Notes:Includes bibliographical references and index.
Description based on online resource; title from PDF title page (SpringerLink, viewed Nov. 20, 2013).
Summary:"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."--Publisher's website.
Standard no.:10.1007/978-3-642-40523-5
Table of Contents:
  • Random Walks, a Good Place to Begin
  • Doeblin's Theory for Markov Chains
  • Stationary Probabilities
  • More about the Ergodic Theory of Markov Chains
  • Markov Processes in Continuous Time
  • Reversible Markov Processes
  • A minimal Introduction to Measure Theory
  • Notation.

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