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Stochastic process
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441	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
442	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
443	Distance Dependent Infinite Latent Feature Models Samuel J. Gershman1 , Peter I. Frazier2 and David M. Blei3 1 Department of Brain and Cognitive Sciences, Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Dirichlet process Chinese restaurant process Markov chain Mixture model Statistics Stochastic processes Statistical models
444	2D Shape Classiﬁcation Using Multifractional Brownian Motion Manuele Bicego and Alessandro Trudda DEIR - University of Sassari via Torre Tonda, [removed]Sassari (Italy) {bicego,atrudda}@uniss.it Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:00:32 Fractional Brownian motion Brownian motion Curvature Hurst exponent Normal distribution Wiener process Statistics Stochastic processes Fractals
445	Modelling vertical fish migration using mixed Ornstein-Uhlenbeck processes Erik Natvig∗, Sam Subbey† Abstract Based on vertical movement data derived from electronic storage tags (DST) attached to fish, we construct Add to Reading List Source URL: www.nik.no Language: English - Date: 2012-02-29 03:37:58 Markov processes Markov chain Ornstein–Uhlenbeck process Kernel density estimation Stochastic matrix Simulation Hidden Markov model Statistics Markov models Stochastic processes
446	Business Education E BA & Accreditation Add to Reading List Source URL: www.theibfr.com Language: English - Date: 2013-09-06 02:45:26 Financial economics Options Stochastic calculus Equations Black–Scholes Stochastic differential equation Binomial options pricing model Geometric Brownian motion Wiener process Statistics Stochastic processes Mathematical finance
447	DATA-DRIVEN RECOMPOSITION USING THE HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL Matthew D. Hoffman† , Perry R. Cook†‡ , David M. Blei† Princeton University †Dept. of Computer Science ‡Dept. of Music Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Probability and statistics Hidden Markov model Markov chain Speech recognition Stochastic matrix Viterbi algorithm Expectation–maximization algorithm Gibbs sampling Hierarchical hidden Markov model Markov models Statistics Machine learning
448	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.columbia.edu Language: English - Date: 2015-03-12 00:16:20 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
449	Variational Inference for Adaptor Grammars Noah A. Smith David M. Blei Shay B. Cohen School of Computer Science Computer Science Department School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Stochastic processes Bayesian statistics Statistical models Probability theory Dirichlet process Formal grammar Pitman–Yor process Gibbs sampling Inside-outside algorithm Statistics Probability and statistics Formal languages
450	Variational Bayesian Inference with Stochastic Search John Paisley1 David M. Blei3 Michael I. Jordan1,2 1 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Probability theory Science Variational Bayesian methods Variational message passing Marginal likelihood Dirichlet process Variational method Delta method Statistics Estimation theory Logic

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