2008Journal of Anqing Teachers CollegeRequires access

Some Notes on Two-order Markov Chains

Fang Shu

Open publisher page 0 citations

Abstract

Markov chain is a special case of random process and important in the theory of random process,which firstly researched by A.A.Markov.The concept of Two-order Markov chain is extended by Markov chain.This paper gives two equivalent definition and provides an useful method of finding Two-order Markov chain in order to check the Two-order Markov chain.

About this research paper

What this paper is about

Markov chain is a special case of random process and important in the theory of random process,which firstly researched by A.A.Markov.The concept of Two-order Markov chain is extended by Markov chain.This paper gives two equivalent definition and provides an useful method of finding Two-order Markov chain in order to check the Two-order Markov chain.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Markov chain is a special case of random process and important in the theory of random process,which firstly researched by A.A.Markov.The concept of Two-order Markov chain is extended by Markov chain.This paper gives two equivalent definition and provides an useful method of finding Two-order Markov chain in order to check the Two-order Markov chain.

Key concepts: Markov chain, Variable-order Markov model, Markov renewal process, Markov chain mixing time, Markov property, Examples of Markov chains, Markov model, Markov process

Related papers

Back to paper searchBrowse research topicsOriginal source
Some Notes on Two-order Markov Chains — Research Paper | ScholarLens