Glossary
- Aperiodic Markov Chain:
-
A Markov chain in which the period of every state is one
- Discrete Time Markov Chain:
-
A sequence of random variables \( X={\left\{{X}_n\right\}}_{n=1}^{\infty } \) taking values in some state space S such that the probability of X n moving to any state only depends upon its current state and the time n
- Irreducible Markov Chain:
-
A Markov chain in which there is a positive probability of moving from any state to any other state in a finite amount of time
- Positive Recurrent Markov Chain:
-
A Markov chain is called positive recurrent is for every state \( i\in S, {\sum}_{m=1}^{\infty }{nf}_{ii}^{(n)}<\infty \) where \( {f}_{ii}^{(n)}= P\left( \inf \right\{ m\ge 1 \): X m = i|X 0 = i} = n)
- Probability Matrix:
-
A matrix p describing the probability of traveling between states in a Discrete Time Markov Chain
Definition
This section provides the definition of a...
This is a preview of subscription content, log in via an institution.
References
Allen LJS (2003) An introduction to stochastic processes with applications to biology. Pearson/Prentice Hall, Upper Saddle River
Gales M, Steve Y (2007) The application of hidden markov models in speech recognition. Found Trends Signal Process 1(3):195–304
Hayes B (2014) First links in the markov chain. Sci Am 101(2):92
Khmelev DV, Tweedie FJ (2001) Using markov chains for identification of writers. Lit Linguist Comput 16(4):299–307
McAlpine K, Eduardo M, Stuart H (1999) Making music with algorithms: a case-study system. Comput Music J 23(2):19–30
Page L, Brin S, Motwani R, Winograd T (1998) The pagerank citation ranking: bringing order to the web. Technical Report, Stanford University
Serfozo R (2009) Basics of applied stochastic processes. Springer, Heidelberg
Testa A, James H, Simon E, Richard O (2015) Codingquarry: highly accurate hidden markov model gene prediction in fungal genomes using rna-seq transcripts. BMC Genomics 16(170)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media LLC
About this entry
Cite this entry
Marchese, A., Maroulas, V. (2016). Probability Matrices. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_158-1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7163-9_158-1
Received:
Accepted:
Published:
Publisher Name: Springer, New York, NY
Online ISBN: 978-1-4614-7163-9
eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering