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David Gibbs
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#	Item
31	David Francis Jackson A.M., Q.C., FCIArb Personal Born 8 May 1941 at Ipswich, Queensland, Australia. Married, three daughters. Education 1959–1964 University of Queensland Bachelor of Artsmajoring in Political Add to Reading List Source URL: acica.org.au Language: English - Date: 2011-07-27 23:55:11 Oceania High Court of Australia Constitution of Australia Samuel Griffith Law of Australia UNSW Faculty of Law Supreme court George Winterton Ian Callinan Australian constitutional law Australia Harry Gibbs
32	Markov Chain Monte Carlo (and Bayesian Mixture Models) David M. Blei Columbia University October 14, 2014 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Statistical models Monte Carlo methods Markov models Expectation–maximization algorithm Mixture model Gibbs sampling Conjugate prior Markov chain Monte Carlo Variational Bayesian methods Statistics Bayesian statistics Estimation theory
33	Nonparametric Bayesian Methods for Large Scale Multi-Target Tracking Emily B. Fox David S. Choi Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:48 Markov models Dirichlet process Mixture model Dirichlet distribution Markov chain Concentration parameter Gibbs sampling Poisson distribution Bayesian inference Statistics Stochastic processes Bayesian statistics
34	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
35	Black Box Variational Inference Rajesh Ranganath Sean Gerrish David M. Blei Princeton University, 35 Olden St., Princeton, NJ 08540 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian networks Variational Bayesian methods Variational message passing Operations research Gibbs sampling Normal distribution Mathematical optimization Score Stochastic optimization Statistics Estimation theory Bayesian statistics
36	Sparse stochastic inference for latent Dirichlet allocation David Mimno [removed] Princeton U., Dept. of Computer Science, 35 Olden St., Princeton, NJ 08540, USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Gibbs sampling Dirichlet distribution Topic model Markov chain Monte Carlo Markov chain Statistics Statistical natural language processing Markov models
37	University of California, Irvine Statistics Seminar Almost Everything You Always Wanted to Know about NONLINEAR STATE SPACE MODELS (but were afraid to ask) David Stoffer Add to Reading List Source URL: www.stat.uci.edu Language: English - Date: 2015-03-31 15:43:39 Monte Carlo methods Statistical theory Particle filter Robot control Bayesian inference Gibbs sampling Inference Statistics Computational statistics Bayesian statistics
38	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
39	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
40	Hierarchical Bayesian Models for Latent Attribute Detection in Social Media Delip Raoa Michael Paula Clay Finkb David Yarowskya Timothy Oatesc,a Glen Coppersmitha a Human Language Technology Center of Excellence, Johns H Add to Reading List Source URL: www.cs.jhu.edu Language: English - Date: 2011-04-08 08:59:42 Machine learning Model selection Cluster analysis Mixture model Prior probability Latent Dirichlet allocation Hierarchical Bayes model Gibbs sampling Cross-validation Statistics Probability Bayesian statistics

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