Graphical Gaussian Model:
• Gaussian Papers
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"Sparse graphical models for exploring gene expression data",
Adrian Dobra, Chris Hans, Beatrix Jones, J.R.Joseph R. Nevins, Guang Yao and Mike West, Journal of Multivariate Analysis 90 (2004) 196-212.
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"Decomposable graphical Gaussian model determination",
Paolo Giudici; Peter J. Green, Biometrika Vol. 86, No. 4 (Dec., 1999), pp. 785-801
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"Hyper Markov Laws in the Statistical analysis of decomposable graphical models",
A.P. Dawid and S.L. Lauritzen, The Annals of Statistics 1993, Vol. 21, No.3, 1272-1317
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"EXPERIMENTS IN STOCHASTIC COMPUTATION FOR HIGH-DIMENSIONAL GRAPHICAL MODELS" (manuscript),
Beatrix Jones, Carlos Carvalho, Adrian Dobra, Chris Hans, Chris Carter & Mike West, Statistical Science 20 (2005): 388-400
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"A Monte Carlo method for computing the marginal likelihood in nondecomposable Gaussian graphical models",
Aliye Atay-Kayis and Hélène Massam, Biometrika 2005 92: 317-335
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"Bayesian inference for nondecomposable graphical Gaussian models",
Petros Dellaportas, Paolo Giudici and Gareth Roberts, Sankhya: The Indian Journal of Statistics 2003, Volume 65, Pt. 1, 43--55
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"Hyper inverse wishart distribution for non-decomposable graphs and its application to Bayesian inference for gaussian graphical models",
Alberto Roverato, Scandinavian Journal of Statistics Vol. 29: 391-411, 2002
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"Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions",
Dan Geiger and David Heckerman, The Annals of Statistics 2002, Vol. 30, No.5, 1412-1440
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"Learning Gaussian Networks",
Dan Geiger and David Heckerman, Microsoft Research Technical Report (MSR-TR-94-10), July 1994, p28
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"An empirical Bayes approach to inferring large-scale gene association networks", Juliane Schäfer and Korbinian Strimmer, Bioinformatics, vol 21, pages 754-764, 2005
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"Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical Gaussian models and Bayesian networks", Adriano V. Werhli, Marco Grzegorczyk, and Dirk Husmeier, Bioinformatics, July 14, 2006
• Gaussian Links
Bayesian Networks:
• Tutorial
• Software
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B-Course,
a web-based data analysis tool for Bayesian modeling, in particular
dependence and classification modeling
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BUGS,
Bayesian inference Using Gibbs Sampling is a piece of computer
software for the Bayesian analysis of complex statistical models
using Markov chain Monte Carlo (MCMC) methods
Last modified:
15 May, 2006
