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Markov model

Known as: Hierarchical Markov model, Markov models 
In probability theory, a Markov model is a stochastic model used to model randomly changing systems where it is assumed that future states depend… Expand
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Related topics

Related topics

34 relations
Alignment-free sequence analysisAncestral graphAsymmetric Numeral SystemsAugmented transition network
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2003
Highly Cited
2003
Model-Checking Algorithms for Continuous-Time Markov Chains
Continuous-time Markov chains (CTMCs) have been widely used to determine system performance and dependability characteristics… Expand
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Highly Cited
2002
Highly Cited
2002
Ancestral graph Markov models
Abstract : This paper introduces a class of graphical independence models that is closed under marginalization and conditioning… Expand
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Highly Cited
2002
Highly Cited
2002
Markov Model for Storm Water Pipe Deterioration
Effective management of storm water pipe networks requires an accurate assessment of the structural condition of the pipes… Expand
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Highly Cited
2001
Highly Cited
2001
Selective Markov models for predicting Web page accesses
The problem of predicting a user's behavior on a Web site has gained importance due to the rapid growth of the World Wide Web and… Expand
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Highly Cited
1999
Highly Cited
1999
Finite-state Markov model for Rayleigh fading channels
We form a finite-state Markov channel model to represent Rayleigh fading channels. We develop and analyze a methodology to… Expand
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Highly Cited
1994
Highly Cited
1994
A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada
Regional Niagara is the site of an intense three-way land-use conflict among urban, agricultural and natural uses. Large scale… Expand
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Highly Cited
1993
Highly Cited
1993
Markov Chains and Stochastic Stability
Meyn & Tweedie is back! The bible on Markov chains in general state spaces has been brought up to date to reflect developments in… Expand
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Highly Cited
1992
Highly Cited
1992
Can the Markov Switching Model Forecast Exchange Rates?
A Markov-switching model is fit for eighteen exchange rates at quarterly and monthly frequencies. This model fits well in-sample… Expand
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Highly Cited
1990
Highly Cited
1990
Simulated Moments Estimation of Markov Models of Asset Prices
This paper provides a simulated moments estimator (SME) of the parameters of dynamic models in which the state vector follows a… Expand
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Highly Cited
1988
Highly Cited
1988
Numerical transient analysis of markov models
Abstract We consider the numerical evaluation of Markov model transient behavior. Our research is motivated primarily by computer… Expand
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