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Hierarchical Bayes model
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81	Structured Priors for Structure Learning V. K. Mansinghka, C. Kemp, J. B. Tenenbaum Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2008-12-18 19:26:33 Bayesian network Graphical model Hierarchical Bayes model Graph Directed acyclic graph Bayesian inference Topology Prior probability Causality Bayesian statistics Statistics Graph theory
82	Developmental Science 10:[removed]), pp 307– 321 DOI: [removed]j[removed]00585.x BAYESIAN SPECIAL SECTION Blackwell Publishing Ltd Add to Reading List Source URL: web.mit.edu Language: English - Date: 2007-04-04 13:19:14 Concept learning Dirichlet distribution Prior probability Hierarchical Bayes model Abstraction Bayesian statistics Statistics Probability
83	Predicting Mycobacterium tuberculosis Complex Clades Using Knowledge-Based Bayesian Networks Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Statistical classification Machine learning Bayesian network Support vector machine Inference Hierarchical Bayes model Tuberculosis Statistics Bayesian statistics Graphical models
84	Introduction Models Data Example Alternative HMs Bayesian Adaptive Methods for Add to Reading List Source URL: www.mbswonline.com Language: English - Date: 2009-04-27 16:29:36 Statistical theory Graphical models Frequentist inference Bayesian inference Prior probability Hierarchical Bayes model Bayesian probability Probability interpretations Statistics Bayesian statistics Statistical inference
85	Journal of Mathematical Psychology ( ) Add to Reading List Source URL: www.newcl.org Language: English - Date: 2010-12-13 18:06:13 Deviance information criterion Bayes factor Hierarchical Bayes model Deviance Prior probability Pareto efficiency Hyperparameter Akaike information criterion Autoregressive conditional heteroskedasticity Statistics Bayesian statistics Parameter