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Markov chain Monte Carlo
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#	Item
61	Monte Carlo Bayes Work Group Discussion of the article Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions By SP Brooks, P Giudici, GO Roberts (J Arbel) Add to Reading List Source URL: www.crest.fr Language: English - Date: 2010-03-18 12:16:06
62	Course Description: Bayesian methodology and (Markov chain) Monte Carlo simulation for financial applications 3 ECTS Professor Antonietta Mira Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2014-06-16 09:49:33 Statistics Statistical theory Monte Carlo methods Markov models Markov chain Monte Carlo Computational statistics Statistical mechanics Bayesian network Bayesian inference Approximate Bayesian computation Bayesian statistics MetropolisHastings algorithm
63	Title Bayesian modeling using Stan Abstract The goal of this course is to assist researchers in learning to use Stan to perform Bayesian inference with applications to multilevel modeling and item response theory. The co Add to Reading List Source URL: www.psychometricsociety.org Language: English - Date: 2016-02-11 12:46:42 Statistics Statistical theory Monte Carlo software Computational statistics Statistical inference Bayesian statistics Bayesian network Stan Markov chain Monte Carlo WinBUGS Bayesian inference using Gibbs sampling Bayesian inference
64	Inference of functional clustering patterns from non-functional data Long Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-03-19 18:14:23 Statistics Statistical theory Probability Probability distributions Stochastic processes Dirichlet process Bayesian statistics Markov chain Monte Carlo Mixture distribution Statistical inference Concentration parameter Mixture model
65	Markov chain Monte Carlo for continuous-time discrete-state systems Vinayak A. P. Rao Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2014-08-30 13:43:20 Statistics Probability theory Probability Markov processes Stochastic processes Markov models Markov chain Monte Carlo Gibbs sampling Bayesian network Monte Carlo method Markov chain Poisson point process
66	Markov chain Monte Carlo Machine Learning Summer School 2009 http://mlg.eng.cam.ac.uk/mlss09/ Iain Murray http://www.cs.toronto.edu/~murray/ Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2009-08-30 22:00:20
67	Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification Panagiotis E. Hadjidoukas1(B) , Panagiotis Angelikopoulos1 , Lina Kulakova1 , Costas Papadimitriou2 , and Petros Koumoutsakos1 1 Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2015-08-03 10:21:45 Statistics Statistical theory Bayesian statistics Estimation theory Parallel computing Bayesian network Bayesian inference Loss function Likelihood function Uncertainty quantification Markov chain Monte Carlo Marginal likelihood
68	PHYSICAL REVIEW E 78, 046704 !2008" Variational method for estimating the rate of convergence of Markov-chain Monte Carlo algorithms Fergal P. Casey* Complex and Adaptive Systems Laboratory, University College Dublin, D Add to Reading List Source URL: cbsu.tc.cornell.edu Language: English - Date: 2014-10-31 16:45:19
69	Estimation and Inference via Bayesian Simulation: An Introduction to Markov Chain Monte Carlo Simon Jackman American Journal of Political Science, Vol. 44, No. 2. (Apr., 2000), ppStable URL: http://links.jstor Add to Reading List Source URL: www.nyu.edu Language: English - Date: 2012-08-21 10:10:55
70	Package ‘MCMCpack’ February 14, 2014 VersionDateTitle Markov chain Monte Carlo (MCMC) Package Author Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park Add to Reading List Source URL: mcmcpack.berkeley.edu Language: English - Date: 2014-07-14 18:24:35

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