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Graphical model

Known as: Graphical Models, Probabilistic graphical model 
A graphical model or probabilistic graphical model (PGM) is a probabilistic model for which a graph expresses the conditional dependence structure… Expand
Wikipedia

Papers overview

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Highly Cited
2009
Highly Cited
2009
Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The… Expand
Highly Cited
2008
Highly Cited
2008
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random… Expand
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Highly Cited
2007
Highly Cited
2007
We propose penalized likelihood methods for estimating the concentration matrix in the Gaussian graphical model. The methods lead… Expand
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Review
2004
Review
2004
This paper presents a tutorial introduction to the use of variational methods for inference and learning in graphical models… Expand
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Highly Cited
2003
Highly Cited
2003
JAGS is a program for Bayesian Graphical modelling which aims for compatibility with Classic BUGS. The program could eventually… Expand
Highly Cited
1999
Highly Cited
1999
This paper presents a novel practical framework for Bayesian model averaging and model selection in probabilistic graphical… Expand
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Review
1998
Review
1998
Part 1 Inference: introduction to inference for Bayesian networks, Robert Cowell advanced inference in Bayesian networks, Robert… Expand
Highly Cited
1996
Highly Cited
1996
Graphs and Conditional Independence.- Log-Linear Models.- Bayesian Networks.- Gaussian Graphical Models.- Mixed Interaction… Expand
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Highly Cited
1995
Highly Cited
1995
Pendant plus d'un demi-siecle, les graphes ont ete utilises pour representer des modeles statistiques en analyse de donnees. En… Expand
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Highly Cited
1990
Highly Cited
1990
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and… Expand