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Bayesian probability
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#	Item
571	Predicting Legislative Roll Calls from Text Sean M. Gerrish SGERRISH @ CS . PRINCETON . EDU David M. Blei BLEI @ CS . PRINCETON . EDU Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Statistical natural language processing Natural language processing Bayesian statistics Statistical models Statistical theory Topic model Mixture model Latent Dirichlet allocation Information retrieval Statistics Science Probability and statistics
572	doi:[removed]j.cognition[removed] Add to Reading List Source URL: mentalmodels.princeton.edu Language: English - Date: 2012-06-14 22:39:02 Gaming Posterior probability Prior probability Casino token Probability Probabilistic logic Bayesian statistics Gambling Entertainment
573	T O APPEAR IN P ROCEEDINGS OF THE 2007 I NTERNATIONAL C ONFERENCE ON I NFORMATION F USION Hierarchical Dirichlet Processes for Tracking Maneuvering Targets Emily B. Fox Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:50 Statistical models Robot control Bayesian statistics Stochastic processes Hidden Markov model Markov chain Kalman filter Conjugate prior Mixture model Statistics Probability and statistics Markov models
574	Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise Jacob Whitehill, Paul Ruvolo, Tingfan Wu, Jacob Bergsma, and Javier Movellan Machine Perception Laboratory Add to Reading List Source URL: mplab.ucsd.edu Language: English - Date: 2009-10-31 02:15:37 Prior probability Label Constructible universe Sociology Science Philosophical logic Bayesian statistics ESP game Labeling theory
575	in Infrared Systems and Components III, pp[removed], Robert L. Caswell ed., SPIE Vol. 1050, 1989 Bayesian Analysis of Signals from Closely-Spaced Objects G. Larry Bretthorst Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Gaussian function Estimation theory Bayesian probability Posterior probability Prior probability Bayesian inference Principle of maximum entropy Maximum likelihood Probability Statistics Bayesian statistics Probability and statistics
576	Introduction to Estimation and the Kalman Filter Hugh Durrant-Whyte Australian Centre for Field Robotics The University of Sydney NSW 2006 Australia [removed] Add to Reading List Source URL: www.acfr.usyd.edu.au Language: English - Date: 2007-05-20 18:42:22 Estimation theory Bayesian statistics Robot control Statistical dependence Kalman filter Conditional probability distribution Probability density function Maximum likelihood Independence Statistics Probability theory Probability and statistics
577	PARAMETER ESTIMATION IN ULTRASONIC MEASUREMENTS ON TRABECULAR BONE Karen R. Marutyan, PhD∗ , Christian C. Anderson, MA† , Keith A. Wear PhD∗∗ , Mark R. Holland, PhD† , James G. Miller, PhD† and G. Larry Brett Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2011-04-28 12:02:53 Statistical inference Bayesian probability Philosophy of mathematics Philosophy of science Bayesian inference Inverse probability Markov chain Probability Expectation–maximization algorithm Statistics Bayesian statistics Probability interpretations
578	in Maximum Entropy and Bayesian Methods, Wolfgang von der Linden, et. al. eds., Kluwer, 1999. \THE NEAR-IRRELEVANCE OF SAMPLING FREQUENCY DISTRIBUTIONS1 " Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Statistical theory Statistical inference Principle of maximum entropy Estimation theory Prior probability Entropy Normal distribution Bayesian probability Central limit theorem Statistics Probability and statistics Bayesian statistics
579	in Maximum-Entropy and Bayesian Methods in Science and Engineering, 1, pp[removed], G. J. Erickson and C. R. Smith Eds., Kluwer Academic Publishers, Dordrecht the Netherlands, 1988. Excerpts from Bayesian Spectrum Analysi Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Bayesian probability Principle of maximum entropy Maximum likelihood Bayesian inference Prior probability Estimation theory Likelihood function Normalizing constant Edwin Thompson Jaynes Statistics Bayesian statistics Probability and statistics
580	Supplement to “How robust are probabilistic models of higher-level cognition?” Gary Marcus, Dept. of Psychology, New York University Ernest Davis, Dept. of Computer Science, New York University This supplement explai Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2013-10-03 10:55:23 Bayesian statistics Probability Posterior probability

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