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Bayesian probability
Results: 1640

#	Item
221	Steffen L. Lauritzen Elements of Graphical Models Lectures from the XXXVIth International Probability Summer School in Saint-Flour, France, 2006 Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2011-09-04 13:19:40 Graph theory Probability and statistics Statistical models Networks Probability theory Bayesian network Factor graph Belief propagation Markov model Statistics Graphical models Bayesian statistics
222	Exchangeable Inconsistent Priors for Bayesian Posterior Inference Max Welling Ian Porteous Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-02-01 15:33:24 Dirichlet process Poisson distribution Principle of maximum entropy Prior probability Normal distribution Mixture model Gibbs sampling Empirical Bayes method Bayesian inference Statistics Probability and statistics Bayesian statistics
223	Using Bayesian Aldrich-McKelvey Scaling to Study Citizens’ Ideological Preferences and Perceptions Christopher Hare Department of Political Science, University of Georgia 104 Baldwin Hall Athens, GA 30602 Add to Reading List Source URL: www.voteview.com Language: English - Date: 2014-07-02 11:51:42 Bayesian statistics Science Marketing Prior probability Scale Bayesian inference Survey methodology Statistics Psychometrics Market research
224	Predicting AGI: What can we say when we know so little? Fallenstein, Benja Mennen, Alex Add to Reading List Source URL: intelligence.org Language: English - Date: 2013-12-02 15:06:01 Actuarial science Exponentials Bayesian statistics Probability theory Pareto distribution Socioeconomics Strong AI Normal distribution Stable distribution Statistics Probability and statistics Probability
225	An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2010-03-15 18:50:30 Pitman–Yor process Chinese restaurant process Dirichlet distribution Concentration parameter Mixture model Bayesian inference Prior probability Statistics Stochastic processes Dirichlet process
226	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
227	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
228	The Coevolution of Punishment and Prosociality Among Learning Agents Fiery Cushman () Department of Psychology, 1484 William James Hall, 33 Kirkland St., Cambridge, MAUSA Owen Macindoe (owe Add to Reading List Source URL: cushmanlab.fas.harvard.edu Language: English - Date: 2014-08-18 11:16:15 Probability and statistics Prior probability Hierarchical Bayes model Prosocial behavior Psychology Bayesian inference Cognitive science Bayesian statistics Statistics Science
229	Model Selection in Compositional Spaces by Roger Baker Grosse B.S., Stanford UniversityM.S., Stanford University (2008) Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-06-03 15:15:50 Bayesian statistics Statistical models Generative model Bayes factor Variational Bayesian methods Variational message passing Marginal likelihood Supervised learning Gibbs sampling Statistics Machine learning Probability and statistics
230	Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:49:35 Theoretical computer science Probability Graphical models Statistical models Bayesian statistics Conditional random field Discriminative model Generative model Markov random field Statistics Machine learning Probability and statistics

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