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Dirichlet process
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#	Item
201	Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable Lauren A. Hannah Duke University Durham, NC 27701 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-11-02 06:13:04 Stochastic optimization Operations research Mathematical optimization Dirichlet process Stochastic approximation Newsvendor model Mixture model Stochastic gradient descent Gradient descent Statistics Probability and statistics Numerical analysis
202	Variational Inference for the Nested Chinese Restaurant Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Variational Bayesian methods Statistical models Expectation–maximization algorithm Dirichlet process Gibbs sampling Mixture model Bayesian inference Exponential family Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
203	Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Statistical inference Latent Dirichlet allocation Dirichlet process Dirichlet distribution Concentration parameter Mixture model Topic model Multinomial distribution Bayesian inference Statistics Statistical natural language processing Bayesian statistics
204	Journal of Mathematical Psychology[removed]–12 Contents lists available at SciVerse ScienceDirect Journal of Mathematical Psychology journal homepage: www.elsevier.com/locate/jmp Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2013-07-18 05:35:57 Statistical models Stochastic processes Statistical inference Dirichlet process Mixture model Latent variable Bayes factor Bayesian inference Hidden Markov model Statistics Bayesian statistics Psychometrics
205	MCMC for Normalized Random Measure Mixture Models Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:29 Mixture distribution Markov chain Dirichlet process Mixture model Normal distribution Μ operator Statistics Probability and statistics Conjugate prior
206	Variational Bayesian Inference with Stochastic Search John Paisley1 David M. Blei3 Michael I. Jordan1,2 1 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-06-05 15:28:29 Bayesian statistics Probability theory Science Variational Bayesian methods Variational message passing Marginal likelihood Dirichlet process Variational method Delta method Statistics Estimation theory Logic
207	Von Mises-Fisher Clustering Models Siddharth Gopal Carnegie Mellon University, Pittsburgh, PA[removed]USA SGOPAL 1@ CS . CMU . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Expectation–maximization algorithm Dirichlet process Cluster analysis Dynamic topic model Empirical Bayes method Latent Dirichlet allocation Bayesian inference Exponential family Bayesian network Statistics Bayesian statistics Mixture model
208	The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies DAVID M. BLEI Princeton University, Princeton, New Jersey AND Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Statistical natural language processing Statistical models Statistical inference Dirichlet process Latent Dirichlet allocation Chinese restaurant process Non-parametric statistics Mixture model Bayesian network Statistics Stochastic processes Bayesian statistics
209	Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation Indraneel Mukherjee David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 Bayesian statistics Statistical models Latent Dirichlet allocation Variational Bayesian methods Expectation–maximization algorithm Mixture model Probabilistic latent semantic analysis Dirichlet process Latent semantic analysis Statistics Statistical natural language processing Natural language processing
210	Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2011-05-12 14:11:19 Latent Dirichlet allocation Dynamic topic model Variational Bayesian methods Topic model Hidden Markov model Calculus of variations Mixture model Bayesian inference Dirichlet process Statistics Statistical natural language processing Bayesian statistics

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