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Bayesian inference
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#	Item
931	Copyright  2004 by the Genetics Society of America DOI: [removed]genetics[removed]Comparative Evaluation of a New Effective Population Size Estimator Based on Approximate Bayesian Computation David A. Tallmon,,†, Add to Reading List Source URL: uas.alaska.edu Language: English* - Date: 2014-12-12 11:47:04 Statistical theory Estimator Point estimation Bootstrapping Mean squared error Efficiency Maximum likelihood Median Sample maximum and minimum Statistics Estimation theory Statistical inference
932	Fast Bayesian Network Structure Search Using Gaussian Processes Blake Anderson and Terran Lane University of New Mexico, Albuquerque NM 87131, USA Abstract. In this paper we introduce two novel methods for performing Add to Reading List Source URL: www.cs.unm.edu Language: English - Date: 2009-06-01 17:12:08 Statistical inference Computational statistics Gaussian process Bayesian network Normal distribution Regression analysis Bootstrapping Kriging Random variable Statistics Bayesian statistics Graphical models
933	Learning & Behavior 2008, 36 (3), [removed]doi: [removed]LB[removed]Bayesian approaches to associative learning: From passive to active learning Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2008-07-01 21:18:32 Rescorla–Wagner model Bayesian probability Bayesian inference Recall Graphical model Estimation theory Hierarchical Bayes model Statistics Bayesian statistics Kalman filter
934	On Smoothing and Inference for Topic Models Arthur Asuncion, Max Welling, Padhraic Smyth Department of Computer Science University of California, Irvine Irvine, CA, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2009-05-27 03:06:42 Variational Bayesian methods Latent Dirichlet allocation Expectation–maximization algorithm Probabilistic latent semantic analysis Dirichlet distribution Bayesian inference Hyperparameter Statistics Bayesian statistics Statistical natural language processing
935	Estimating the Size of Populations at High Risk of HIV in Bangladesh Using a Bayesian Hierarchical Model Le Bao and Adrian E. Raftery Amala Reddy Add to Reading List Source URL: www.csss.washington.edu Language: English - Date: 2010-08-11 19:35:17 Estimation theory Parameter Sampling Earth Mathematics Statistical inference Asia HIV/AIDS in Asia
936	Overview Bayesian learning theory applied to human cognition Robert A. Jacobs1∗ and John K. Kruschke2 Probabilistic models based on Bayes’ rule are an increasingly popular approach to Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2012-01-07 13:16:34 Bayesian inference Bayesian probability Graphical model Expectation–maximization algorithm Prior probability Hierarchical Bayes model Mixture model Latent variable Dirichlet process Statistics Bayesian statistics Bayesian network
937	Ibrahim et al. BMC Medical Research Methodology 2012, 12:183 http://www.biomedcentral.com[removed] RESEARCH ARTICLE Open Access Add to Reading List Source URL: www.biomedcentral.com Language: English Statistical theory Econometrics Bayesian inference Statistical forecasting Prior probability Marginal likelihood Confidence interval Statistics Bayesian statistics Statistical inference
938	What to believe: Bayesian methods for data analysis Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2010-07-02 08:38:15 Bayesian inference Bayes factor Credible interval Point estimation Prior probability Confidence interval Statistical hypothesis testing Dirichlet process Bayesian probability Statistics Bayesian statistics Statistical inference
939	Convex Point Estimation using Undirected Bayesian Transfer Hierarchies Gal Elidan Computer Science Dept. Stanford University Stanford, CA 94305 Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2008-11-05 13:44:45 Empirical Bayes method Conjugate prior Prior probability Naive Bayes classifier Bayes estimator Maximum likelihood Bayesian inference Hyperprior Likelihood function Statistics Bayesian statistics Hierarchical Bayes model
940	Performance of Bayesian Model Selection Criteria for Gaussian Mixture Models 1 Russell J. Steele McGill University Adrian E. Raftery Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2009-09-18 15:00:15 Statistical theory Model selection Bayesian inference Akaike information criterion Conjugate prior Variational Bayesian methods Mixture model Normal distribution Maximum likelihood Statistics Bayesian statistics Estimation theory

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