Markov property

Known as: Markov assumption, Markov-type property, Strong Markov property 
In probability theory and statistics, the term Markov property refers to the memoryless property of a stochastic process. It is named after the… (More)
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Highly Cited
2004
Highly Cited
2004
A real valued random function {x,}, continuous in probability and with x o =0, is called semi-stable if there is a constant ~ > 0… (More)
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Highly Cited
2003
Highly Cited
2003
We consider acyclic directed mixed graphs, in which directed edges (x → y) and bi-directed edges (x ↔ y) may occur. A simple… (More)
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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… (More)
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Highly Cited
2003
Highly Cited
2003
Many chronic diseases have a natural interpretation in terms of staged progression. Multistate models based on Markov processes… (More)
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Highly Cited
1999
Highly Cited
1999
Graphical Markov models use graphs, either undirected, directed, or mixed, to represent possible dependences among statistical… (More)
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Highly Cited
1997
Highly Cited
1997
This paper presents multiresolution models for Gauss-Markov random fields (GMRFs) with applications to texture segmentation… (More)
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1996
1996
Graphical Markov models use graphs ei ther undirected directed or mixed to rep resent possible dependences among statis tical… (More)
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Highly Cited
1994
Highly Cited
1994
Stochastic Petri nets of various types (SPN, GSPN, ESPN, DSPN etc.) are recognized as useful modeling tools for analyzing the… (More)
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Highly Cited
1990
Highly Cited
1990
We investigate directed Markov fields over finite graphs without positivity assumptions on the densities involved. A criterion… (More)
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Highly Cited
1987
Highly Cited
1987
Diffusions, martingales, and Markov processes are each particular types of stochastic processes. A stochastic process, in a state… (More)
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