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Variable-order Bayesian network
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1	USING GRAPHICAL MODELS AND GENOMIC EXPRESSION DATA TO STATISTICALLY VALIDATE MODELS OF GENETIC REGULATORY NETWORKS ALEXANDER J. HARTEMINK MIT Laboratory for Computer Science 545 Technology Square, Cambridge, MA 02139 Add to Reading List Source URL: www.psrg.csail.mit.edu Language: English - Date: 2013-07-14 14:56:24 Bayesian statistics Graphical models Estimation theory Latent variable Mutual information Maximum likelihood Variable-order Bayesian network Statistics Statistical models Bayesian networks
2	USING GRAPHICAL MODELS AND GENOMIC EXPRESSION DATA TO STATISTICALLY VALIDATE MODELS OF GENETIC REGULATORY NETWORKS ALEXANDER J. HARTEMINK MIT Laboratory for Computer Science 545 Technology Square, Cambridge, MA 02139 Add to Reading List Source URL: www.psrg.lcs.mit.edu Language: English - Date: 2013-07-14 14:56:24 Bayesian statistics Graphical models Estimation theory Latent variable Mutual information Maximum likelihood Variable-order Bayesian network Statistics Statistical models Bayesian networks
3	PDF Document Add to Reading List Source URL: bioinformatics.oxfordjournals.org Language: English Probability Markov chain Variable-order Bayesian network Hidden Markov model Variable-order Markov model Bayesian network Graphical model Gibbs sampling Markov models Statistics Probability and statistics
4	PDF Document Add to Reading List Source URL: www.eng.tau.ac.il Language: English - Date: 2006-07-17 02:15:16 Markov chain Variable-order Markov model Variable-order Bayesian network Bioinformatics Cross-validation Bayesian network Statistics Markov models Probability and statistics