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Dirichlet process
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#	Item
121	Journal of Machine Learning Research[removed]Submitted 9/09, Revised 7/10, 1/11; Published 5/11 Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Nonparametric regression Linear regression Poisson regression Dirichlet process Mixture model Degrees of freedom Statistical power Bayesian linear regression Variance inflation factor Statistics Regression analysis Generalized linear model
122	The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling Sinead Williamson Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, UK Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Dirichlet process Latent Dirichlet allocation Dirichlet distribution Mixture model Hidden Markov model Concentration parameter Normal distribution Topic model Golden ratio Statistics Probability and statistics Statistical natural language processing
123	Bayesian Nonparametric Poisson Factorization for Recommendation Systems Prem Gopalan Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Variational Bayesian methods Mixture model Poisson distribution Collaborative filtering Dirichlet process Bayesian inference Recommender system Gamma distribution Markov chain Statistics Bayesian statistics Expectation–maximization algorithm
124	Stick-Breaking Beta Processes and the Poisson Process 1 John Paisley1 David M. Blei3 Michael I. Jordan1,2 Department of EECS, 2 Department of Statistics, UC Berkeley Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Poisson process Gamma distribution Markov chain Dirichlet process Ordinal number Statistics Markov processes Stochastic processes
125	Supplement to 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.columbia.edu Language: English - Date: 2015-03-12 00:16:23
126	Bayesian Analysis[removed], Number 2, pp. 235–272 The Discrete Infinite Logistic Normal Distribution Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical inference Statistical natural language processing Dirichlet process Latent Dirichlet allocation Dirichlet distribution Mixture model Gamma distribution Probability distribution Bayesian inference Statistics Bayesian statistics Stochastic processes
127	Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Department of Operations Research and Financial Engineering, Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Linear regression Poisson regression Nonparametric regression Dirichlet process Bayesian linear regression Mixture model Degrees of freedom Statistical power Polynomial regression Statistics Regression analysis Generalized linear model
128	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.columbia.edu Language: English - Date: 2015-03-12 00:16:23 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
129	Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Dahua Lin Toyota Technological Institute at Chicago Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 18:11:54 Estimation theory Stochastic processes Statistical models Dirichlet process Conjugate prior Mixture model Latent Dirichlet allocation Dirichlet distribution Parametric model Statistics Statistical theory Bayesian statistics
130	The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling John Paisley, Chong Wang and David Blei Department of Computer Science, Princeton University {jpaisley,chongw,blei}@princeton.edu Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical inference Statistical theory Variational Bayesian methods Latent Dirichlet allocation Gamma distribution Dirichlet process Mixture model Normal distribution Gamma function Statistics Bayesian statistics Statistical natural language processing