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Multinomial distribution
Results: 94

#	Item
41	Continuous Time Group Discovery in Dynamic Graphs Tina Eliassi-Rad2 [removed] Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2009-11-25 18:32:54 Latent Dirichlet allocation Dynamic topic model Topic model Mixture model Dirichlet distribution Multinomial distribution Statistics Statistical natural language processing Probability and statistics
42	Evaluating Joint Modeling of Yeast Biology Literature and Protein-Protein Interaction Networks Ramnath Balasubramanyan and Kathryn Rivard and William W. Cohen School of Computer Science Carnegie Mellon University rbalasu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-05-31 10:50:12 Statistics Bioinformatics Proteomics Latent Dirichlet allocation Systems biology Biotechnology Topic model Information retrieval Multinomial distribution Statistical natural language processing Biology Science
43	[removed]Project Report: Parallel LDA, Truth or Dare? Aapo Kyrölä Department of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-04 13:22:06 Latent Dirichlet allocation Kullback–Leibler divergence Gibbs sampling Normal distribution Divergence Perplexity Sampling Multinomial distribution Topic model Statistics Statistical natural language processing Statistical theory
44	A Bayesian Framework for Modeling Human Evaluations Himabindu Lakkaraju∗ Jure Leskovec∗ Abstract Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2015-01-31 10:26:42 Multivariate statistics Market research Scale Evaluation Non-negative matrix factorization Multinomial distribution Statistics Mathematics Psychometrics
45	BIOGEME: a free package for the estimation of discrete choice models Michel Bierlaire, EPFL Conference paper STRC[removed]STRC Add to Reading List Source URL: www.strc.ch Language: English - Date: 2009-01-15 16:30:07 Categorical data Econometrics Discrete choice Mixed logit Multinomial logit Logistic regression Logit Choice modelling Generalized extreme value distribution Statistics Statistical models Regression analysis
46	A Brief Overview of Nonparametric Bayesian Models NIPS 2009 Workshop Zoubin Ghahramani1 Department of Engineering University of Cambridge, UK [removed] Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2009-12-21 12:46:22 Dirichlet distribution Pitman–Yor process Parametric model Dirac delta function Normal distribution Multinomial distribution Probability distribution Chinese restaurant process Conjugate prior Statistics Stochastic processes Dirichlet process
47	Parameter estimation for text analysis Gregor Heinrich Technical Note vsonix GmbH + University of Leipzig, Germany [removed] Add to Reading List Source URL: www.arbylon.net Language: English - Date: 2008-09-05 05:25:47 Conjugate prior Hyperparameter Dirichlet distribution Beta distribution Mixture model Prior probability Bayesian inference Multinomial distribution Categorical distribution Statistics Probability and statistics Bayesian statistics
48	Idescat. SORT. On the use of simulation methods to compute probabilities: application to the first division Spanish soccer league. Volume 34 (2) Add to Reading List Source URL: www.idescat.cat Language: English - Date: 2010-12-27 07:49:54 Probability and statistics Multinomial distribution Random variable Probability Convergence of random variables Marginal distribution Normal distribution Hidden Markov model Statistics Mathematical analysis Probability theory
49	Multinomial Inverse Regression for Text Analysis Matt Taddy arXiv:1012.2098v7 [stat.ME] 8 Aug 2013 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-08-08 23:27:26 Sufficient dimension reduction Sliced inverse regression Multinomial logit Linear regression Separation Multinomial distribution Exponential family Generalized linear model Outline of regression analysis Statistics Regression analysis Logistic regression
50	Notes on Multinomial sparsity and the Dirichlet concentration parameter α David Bamman January 1, 2013 The Dirichlet distribution is parameterized by a vector of concentration parameters α. If α is symmetric (so that Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-01-01 17:27:42 Dirichlet distribution Constructible universe

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