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Mixture model
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#	Item
381	Package ‘Rcapture’ February 19, 2015 Type Package Title Loglinear Models for Capture-Recapture Experiments VersionDate Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-02-19 16:30:58 Epidemiology Mark and recapture Least squares Lazuli Bunting Mixture model Statistics Regression analysis Statistical models
382	Spatial distance dependent Chinese restaurant processes for image segmentation Soumya Ghosh1 , Andrei B. Ungureanu2 , Erik B. Sudderth1 , and David M. Blei3 1 Department of Computer Science, Brown University, {sghosh,su Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Cluster analysis Image processing Segmentation Market segmentation Dirichlet process K-means clustering Mixture model Chinese restaurant process Spectral clustering Statistics Stochastic processes Machine learning
383	Nonlin. Processes Geophys., 21, 1145–1157, 2014 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License. Non-parametric Bayesian mixture of sparse regr Add to Reading List Source URL: www.nonlin-processes-geophys.net Language: English - Date: 2014-12-04 10:34:51 Regression analysis Bayesian statistics Estimation theory Linear regression Mixture model Dirichlet process Variational Bayesian methods Normal distribution Parameter Statistics Econometrics Statistical models
384	On-line adaptive background modelling for audio surveillance Marco Cristani, Manuele Bicego, and Vittorio Murino Dipartimento di Informatica, Universit`a di Verona - Italy bicego,cristanm@sci.univr.it, vittorio.murino@u Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:46:47 Statistics Waves Digital signal processing Sampling rate Psychoacoustics Sampling Mixture model Frequency Difference of Gaussians Signal processing Acoustics Physics
385	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.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Statistical models Stochastic processes Statistical inference Dirichlet process Mixture model Latent variable Bayes factor Bayesian inference Hidden Markov model Statistics Bayesian statistics Psychometrics
386	Distance dependent Chinese restaurant processes David M. Blei Department of Computer Science, Princeton University 35 Olden St., Princeton, NJ 08540 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Chinese restaurant process Mixture model Gibbs sampling Statistics Stochastic processes Dirichlet process
387	Journal of Machine Learning Research[removed]1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Latent Dirichlet allocation Probabilistic latent semantic analysis Mixture model Topic model Dirichlet distribution Expectation–maximization algorithm Multinomial distribution N-gram Maximum likelihood Statistics Probability and statistics Statistical natural language processing
388	Variational Inference for the Nested Chinese Restaurant 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 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
389	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.columbia.edu Language: English - Date: 2015-03-12 00:16:21 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
390	Z:/papers/dpmm_paper/uai10-dpmm.dvi Add to Reading List Source URL: event.cwi.nl Language: English - Date: 2010-06-18 10:53:31 Estimation theory Conjugate prior Expectation–maximization algorithm Parametric model Mixture model Markov chain Sufficient statistic Sample size determination Statistics Statistical theory Statistical models

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