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Gibbs sampling
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#	Item
31	Journal of Machine Learning Research2140 Submitted 3/09; Revised 6/10; Published 8/10 Importance Sampling for Continuous Time Bayesian Networks Yu Fan Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:14 Markov models Probability distributions Graphical models Monte Carlo methods Stochastic simulation Bayesian network Markov chain Importance sampling Gibbs sampling Exponential distribution Cumulative distribution function Variance
32	Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models Zhen Qin University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2015-05-14 15:51:40 Markov processes Graph theory Markov chain Gibbs sampling Probability distribution Bayesian network Resampling Sampling
33	Finding DNA Regulatory Motifs with Positiondependent Models HuihaiWu University of Surrey, Guildford, United Kingdom Email: Prudence W.H. Wong, Mark X. Caddick and Chris Sibthorp Add to Reading List Source URL: cgi.csc.liv.ac.uk Language: English - Date: 2013-07-03 10:32:55 Bioinformatics Position weight matrix Sequence motif Multiple sequence alignment DNA binding site Gibbs sampling Bayesian network Sequence alignment
34	UNIVERSITY OF CALIFORNIA RIVERSIDE Continuous Time Bayesian Network Approximate Inference and Social Network Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:15 Monte Carlo methods Stochastic simulation Computational statistics Markov models Markov chain Monte Carlo Bayesian network Gibbs sampling Particle filter Approximate inference Expectationmaximization algorithm Statistics Importance sampling
35	Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005 Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2012-01-04 14:50:59 Statistical models Regression analysis Choice modelling Discrete choice Mode choice Mixed logit Probability distribution Multinomial logistic regression Logistic regression Likelihood function Mixture model Gibbs sampling
36	2013 IEEE International Conference on Computer Vision Slice Sampling Particle Belief Propagation Oliver Müller, Michael Ying Yang, and Bodo Rosenhahn Institute for Information Processing (TNT), Leibniz University Hanno Add to Reading List Source URL: www.tnt.uni-hannover.de Language: English - Date: 2016-08-02 06:36:10 Monte Carlo methods Markov chain Monte Carlo Non-uniform random numbers Probability distributions Computational statistics MetropolisHastings algorithm Rejection sampling Gibbs sampling Normal distribution Slice sampling Uniform distribution
37	Microsoft Word - Bayesian Flyer Add to Reading List Source URL: www.scot-ship.ac.uk Language: English - Date: 2014-04-01 08:12:47 Statistical inference Monte Carlo software WinBUGS Bayesian network Bayesian inference using Gibbs sampling Bayesian statistics Bayesian inference Bayesian
38	Learning Generative Models via Discriminative Approaches Zhuowen Tu Lab of Neuro Imaging, UCLA Abstract Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2007-04-25 17:54:00 Machine learning Statistical models Discriminative model Generative model Independent component analysis Image segmentation Gibbs sampling Linear classifier
39	Topic Modeling Variation across News Sources Gregory Ichneumon Brown ABSTRACT In this project we apply topic models to news articles to infer topics that provide insight into the variation between to Add to Reading List Source URL: greg.ichneumon.net Language: English - Date: 2015-01-21 23:31:22 Statistical natural language processing Statistics Probability Artificial intelligence Topic model Latent Dirichlet allocation Dirichlet distribution Gibbs sampling Usenet newsgroup News Unsupervised learning Dynamic topic model
40	A Level-set Hit-and-run Sampler for Quasi-Concave Distributions Shane T. Jensen and Dean P. Foster Department of Statistics, The Wharton School, University of Pennsylvania Abstract Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2014-05-24 19:58:02 Monte Carlo methods Markov chain Monte Carlo Non-uniform random numbers Probability distributions Computational statistics Gibbs sampling Rejection sampling MetropolisHastings algorithm Slice sampling Bayesian network Quasiconvex function Normal distribution

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