Skip to main content
Book Chapter

Properties of Markov Chains

  • Kemeny J
  • Snell J
  • Knapp A
DOI: 10.1007/978-1-4684-9455-6_4
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this section, we will study a concept that utilizes a mathematical model that combines probability and matrices to analyze what is called a stochastic process, which consists of a sequence of trials satisfying certain conditions. The sequence of trials is called a Markov Chain which is named after a Russian mathematician called Andrei Markov (1856-1922).

Cite

CITATION STYLE

APA

Kemeny, J. G., Snell, J. L., & Knapp, A. W. (1976). Properties of Markov Chains (pp. 79–105). https://doi.org/10.1007/978-1-4684-9455-6_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free