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Bayesian statistics
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#	Item
421	Bayesian Learning via Stochastic Gradient Langevin Dynamics Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2011-05-21 11:48:52 Computational statistics Stochastic optimization Statistical mechanics Estimation theory Markov chain Monte Carlo Langevin dynamics Stochastic approximation Metropolis–Hastings algorithm Mixture model Statistics Probability and statistics Monte Carlo methods
422	Anticipated Utility and Rational Expectations as Approximations of Bayesian Decision Making ∗ Timothy Cogley† Thomas J. Sargent‡ Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:55 Markov models Markov processes Statistical models Markov chain Conjugate prior Sufficient statistic Graphical model Statistics Bayesian statistics Statistical theory
423	Infinite State Bayesian Networks Max Welling∗, Ian Porteous, Evgeniy Bart† Donald Bren School of Information and Computer Sciences University of California Irvine Irvine, CAUSA {welling,iporteou}@ics.uci. Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-01-10 04:29:00 Statistical natural language processing Markov models Graphical models Variational Bayesian methods Dirichlet process Gibbs sampling Bayesian network Latent Dirichlet allocation Mixture model Statistics Bayesian statistics Statistical models
424	A study of scale effect on specific sediment yield in the Loess Plateau, China Add to Reading List Source URL: www.lasg.ac.cn Language: English - Date: 2010-12-13 22:35:28 Estimation theory Bayesian statistics Weather prediction Data analysis Control theory Data assimilation Ensemble Kalman filter Singular value decomposition Principal component analysis Statistics Algebra Mathematics
425	Journal of Machine Learning Research xx-xx Submitted 6/08; Published xx/xx Distributed Algorithms for Topic Models David Newman Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2009-09-08 17:03:36 Latent Dirichlet allocation Statistical classification Bayesian networks Topic model Mixture model Dirichlet process Linear discriminant analysis Algorithm Gibbs sampling Statistics Statistical natural language processing Statistical models
426	A Search-Based Approach for Bayesian Inference of the T-cell Signaling Network Mitchell Koch Bradley Broom Add to Reading List Source URL: www.biotconf.org Language: English - Date: 2014-05-21 17:42:44 Statistical models Bayesian network Networks Bayesian inference Bootstrapping Statistics Bayesian statistics Statistical inference
427	Approximate Parameter Learning in Discriminative Fields Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:54 M-estimators Econometrics Bayesian statistics Maximum likelihood Likelihood function Loss function Statistics Estimation theory Statistical theory
428	Bayesian K-Means as a “Maximization-Expectation” Algorithm October 18, 2007 Abstract Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-10-18 14:00:50 Statistical theory Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Fisher information Variational Bayesian methods Marginal likelihood Mixture model Statistics Estimation theory Bayesian statistics
429	Regional Co-locations of Arbitrary Shapes Song Wang1 , Yan Huang2 , and X. Sean Wang3 1 2 Add to Reading List Source URL: www.cse.unt.edu Language: English - Date: 2013-08-12 15:21:31 Bayesian statistics Hypothesis testing Psychometrics Spatial analysis Statistical hypothesis testing Bayesian inference P-value Prior probability Frequentist inference Statistics Statistical inference Statistical theory
430	1 Discovering Non-binary Hierarchical Structures with Bayesian Rose Trees Charles Blundell,† Yee Whye Teh,† and Katherine A. Heller§ † Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2011-06-21 16:24:40 Data management Phylogenetics Knowledge representation Tree T-tree R-tree Cluster analysis Maximum parsimony B-tree Statistics Graph theory Binary trees

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