# Markov property

## Papers overview

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Highly Cited

2004

Highly Cited

2004

- 2004

A real valued random function {x,}, continuous in probability and with x o =0, is called semi-stable if there is a constant ~ > 0â€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- 2003

We consider acyclic directed mixed graphs, in which directed edges (x â†’ y) and bi-directed edges (x â†” y) may occur. A simpleâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- IEEE Trans. Software Eng.
- 2003

Continuous-time Markov chains (CTMCs) have been widely used to determine system performance and dependability characteristicsâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- 2003

Many chronic diseases have a natural interpretation in terms of staged progression. Multistate models based on Markov processesâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- 1999

Graphical Markov models use graphs, either undirected, directed, or mixed, to represent possible dependences among statisticalâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- IEEE Trans. Image Processing
- 1997

This paper presents multiresolution models for Gauss-Markov random fields (GMRFs) with applications to texture segmentationâ€¦Â (More)

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1996

1996

- UAI
- 1996

Graphical Markov models use graphs ei ther undirected directed or mixed to rep resent possible dependences among statis ticalâ€¦Â (More)

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Highly Cited

1994

Highly Cited

1994

- Perform. Eval.
- 1994

Stochastic Petri nets of various types (SPN, GSPN, ESPN, DSPN etc.) are recognized as useful modeling tools for analyzing theâ€¦Â (More)

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Highly Cited

1990

Highly Cited

1990

- Networks
- 1990

We investigate directed Markov fields over finite graphs without positivity assumptions on the densities involved. A criterionâ€¦Â (More)

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Highly Cited

1987

Highly Cited

1987

- 1987

Diffusions, martingales, and Markov processes are each particular types of stochastic processes. A stochastic process, in a stateâ€¦Â (More)

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