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Metropolis–Hastings algorithm
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#	Item
31	Accelerating Markov chain Monte Carlo via parallel predictive prefetching A dissertation presented by Elaine Lee Angelino Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2014-09-16 02:08:53 Markov models Bayesian statistics Markov chain Monte Carlo Metropolis–Hastings algorithm Bayesian inference Markov chain Parallel computing Statistics Probability and statistics Monte Carlo methods
32	Efficient Continuous-Time Markov Chain Estimation Monir Hajiaghayi [removed] Department of Computer Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada Bonnie Kirkpatrick [removed] Add to Reading List Source URL: www.stat.ubc.ca Language: English - Date: 2014-01-10 18:47:10 Estimation theory Statistical inference Computational statistics Markov chain Exponential distribution Hidden Markov model Normal distribution Maximum likelihood Metropolis–Hastings algorithm Statistics Monte Carlo methods Markov models
33	Accelerating Markov chain Monte Carlo via parallel predictive prefetching A dissertation presented by Elaine Lee Angelino to Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2014-09-16 02:08:50 Markov models Bayesian statistics Computational statistics Markov chain Monte Carlo Bayesian inference Metropolis–Hastings algorithm Markov chain Statistics Probability and statistics Monte Carlo methods
34	Estimation of Contextual Effects through Nonlinear Multilevel Latent Variable Modeling with a Metropolis-Hastings Robbins-Monro Algorithm Ji Seung Yang Li Cai Department of Education, University of California Los Angeles Add to Reading List Source URL: www.cse.ucla.edu Language: English - Date: 2013-07-18 09:29:37 Psychometrics Statistical methods Analysis of variance Linear regression Regression analysis 1J 0J Multilevel model Item response theory Statistics Statistical models Econometrics
35	Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget Anoop Korattikara School of Information & Computer Sciences, University of California, Irvine, CA 92617, USA Yutian Chen Department of Engineering, Universit Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Estimation theory Markov chain Monte Carlo Computational statistics Metropolis–Hastings algorithm Particle filter Markov chain Gibbs sampling Variance Estimator Statistics Monte Carlo methods Statistical inference
36	CRESST REPORT 834 ESTIMATION OF A RAMSAY-CURVE ITEM RESPONSE THEORY MODEL BY THE METROPOLIS-HASTINGS ROBBINS-MONRO ALGORITHM SEPTEMBER, 2013 Add to Reading List Source URL: www.cse.ucla.edu Language: English - Date: 2013-10-04 20:17:37 Psychometrics Item response theory Expectation–maximization algorithm Latent variable model Fisher information Differential item functioning Polytomous Rasch model Latent variable Likelihood function Statistics Estimation theory Statistical models
37	Microsoft PowerPoint - Ea5 Add to Reading List Source URL: newton.phy.bme.hu Language: English - Date: 2009-11-02 09:52:56 Mathematical descriptions of physical laws Metropolis–Hastings algorithm Markov chain Mathematical physics Q-analogs
38	Package ‘PhaseType’ July 2, 2014 Title Inference for Phase-type Distributions Description Functions to perform Bayesian inference on absorption time data for Phase-type distributions. Plans to expand this to include Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:12:29 Monte Carlo methods Markov processes Computational statistics Markov chain Continuous-time Markov process Phase-type distribution Bayesian inference Hyperparameter Metropolis–Hastings algorithm Statistics Bayesian statistics Markov models
39	Multidimensional item response theory for cognitive items in large-scale assessments: an application of the Metropolis-Hastings Robins-Monro algorithm Lauren Harrell, Li Cai UCLA Add to Reading List Source URL: cats.cse.ucla.edu Language: English - Date: 2014-04-29 14:42:42 Statistical models Item response theory Cai Statistics National Assessment of Educational Progress United States Department of Education
40	The Ising model and Markov chain Monte Carlo Ramesh Sridharan∗ These notes give a short description of the Ising model for images and an introduction to Metropolis-Hastings and Gibbs Markov Chain Monte Carlo (MCMC). Th Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-01-26 15:07:54 Computational statistics Markov chain Monte Carlo Markov models Statistical mechanics Metropolis–Hastings algorithm Gibbs sampling Markov random field Ising model Markov chain Statistics Probability and statistics Monte Carlo methods

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