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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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Papers overview

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Highly Cited
2003
Highly Cited
2003
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
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
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
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
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
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
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
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
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
Abstract We consider the numerical evaluation of Markov model transient behavior. Our research is motivated primarily by computer… Expand
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