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Bayesian statistics
Results: 3999

#	Item
481	Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study Sanjiv Kumar, Jonas August, 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 18:50:53 Graphical models Bayesian statistics Probability theory Maximum likelihood Likelihood function Conditional random field Belief propagation Statistics Estimation theory M-estimators
482	Evidence Estimation for Bayesian Partially Observed MRFs Yutian Chen Department of Computer Science University of California, Irvine Irvine, CA 92697 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-02-14 03:02:58 Normal distribution Expectation–maximization algorithm Variational Bayesian methods Bayesian network Markov chain Monte Carlo Maximum likelihood Deviance information criterion Pierre-Simon Laplace Markov random field Statistics Bayesian statistics Marginal likelihood
483	Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring Sungjin Ahn Dept. of Computer Science, UC Irvine, Irvine, CA, USA SUNGJIA @ ICS . UCI . EDU Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-05-22 12:55:14 Fisher information Markov chain Monte Carlo Normal distribution Stochastic gradient descent Maximum a posteriori estimation Confidence interval Central limit theorem Score Expectation–maximization algorithm Statistics Estimation theory Maximum likelihood
484	Collapsed Variational Dirichlet Process Mixture Models∗ Max Welling Kenichi Kurihara Dept. of Computer Science Dept. of Computer Science UC Irvine, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-07-24 13:22:36 Expectation–maximization algorithm Dirichlet process Mixture model Latent Dirichlet allocation Normal distribution Factorial Markov chain Central limit theorem Bayesian inference Statistics Bayesian statistics Variational Bayesian methods
485	Modelling Relational Data using Bayesian Clustered Tensor Factorization Ilya Sutskever University of Toronto Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-26 14:29:27 Linear filters Estimation theory Tensor Graphical model Ensemble Kalman filter Statistics Bayesian statistics Statistical models
486	Four Types of Ignorance Lars Peter Hansen and Thomas J. Sargent∗ April 4, 2015 Abstract This paper studies alternative ways of representing uncertainty about a law of motion in a version of a classic macroeconomic targ Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:39:42 Statistical theory Normal distribution Kullback–Leibler divergence Robust Bayes analysis Prior probability Statistical models Statistics Probability and statistics Bayesian statistics
487	19060 • The Journal of Neuroscience, December 4, 2013 • 33(49):19060 –Behavioral/Cognitive The Irrationality of Categorical Perception Stephen M. Fleming,1,2 Laurence T. Maloney,1 and Nathaniel D. Daw1 Add to Reading List Source URL: psych.nyu.edu Language: English - Date: 2015-02-23 11:10:47 Perception Mental processes Probability interpretations Markov models Detection theory Calibrated probability assessment Categorical perception Bayesian probability Prior probability Bayesian statistics Probability Statistics
488	SpringerJournal of Biomolecular NMR:189–198 DOIs10858Article Add to Reading List Source URL: www.ram.org Language: English - Date: 2015-04-27 23:18:48 Probability and statistics CYANA Bayesian inference Prior probability Two-dimensional nuclear magnetic resonance spectroscopy Posterior probability Probability Proton Bayesian statistics Statistics Physics
489	PEER-REVIEWED ARTICLE bioresources.com LOGISTIC REGRESSION MODELS OF FACTORS INFLUENCING THE LOCATION OF BIOENERGY AND BIOFUELS PLANTS Add to Reading List Source URL: www.ncsu.edu Language: English - Date: 2011-03-23 12:26:23 Bioenergy Model selection Econometrics Biomass Logistic regression Akaike information criterion Bayesian information criterion Ethanol fuel Statistics Biofuels Regression analysis
490	Multi-class Gaussian process classiﬁcation of single-trial MEG based on frequency speciﬁc latent features extracted with linear binary classiﬁers Pasi Jylänki, Jaakko Riihimäki, Aki Vehtari Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2012-01-05 06:58:38 Statistical classification Statistics Bayesian statistics Estimation theory

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