An introduction to Markov processes /

Saved in:
Bibliographic Details
Author / Creator:Stroock, Daniel W., author.
Edition:Second edition.
Imprint:Berlin ; New York : Springer, 2014.
Description:1 online resource (xvii, 203 pages).
Series:Graduate texts in mathematics, 0072-5285
Graduate texts in mathematics.
Subject:Markov processes.
Markov, Processus de.
Markov processes.
Processos de markov.
Electronic books.
Format: E-Resource Book
URL for this record:
Hidden Bibliographic Details
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
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.
Other form:Print version: Stroock, Daniel W. Introduction to Markov processes. Second edition. 3642405223 9783642405228
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.