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Markov chain Monte Carlo
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101	Scaling Limits for the Transient Phase of Local Metropolis-Hastings Algorithms by Ole F. Christensen* and Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 20:54:37 Stochastic processes Markov models Markov chain Monte Carlo Theoretical computer science Metropolis–Hastings algorithm Random walk Algorithm Normal distribution Convergence of random variables Statistics Probability and statistics Monte Carlo methods
102	Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric Add to Reading List Source URL: yosinski.com Language: English - Date: 2014-09-17 14:43:15 Markov chain Monte Carlo Markov models Markov processes Bayesian statistics Markov chain Gibbs sampling Boltzmann machine Generative model Graphical model Statistics Statistical models Probability and statistics
103	Copyright Cambridge University PressOn-screen viewing permitted. Printing not permitted. http://www.cambridge.orgYou can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/macka Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2004-09-18 13:29:32 Monte Carlo methods Markov chain Monte Carlo Statistical mechanics Bayesian inference Statistical inference Normal distribution Metropolis–Hastings algorithm Marginal likelihood Variational Bayesian methods Statistics Probability and statistics Bayesian statistics
104	A Parallel Quasi-Monte Carlo Method for Computing Extremal Eigenvalues Michael Mascagni1 and Aneta Karaivanova1,2 1 Florida State University, Department of Computer Science, Tallahassee, FL Add to Reading List Source URL: www.cs.fsu.edu Language: English - Date: 2003-10-07 17:29:16 Numerical analysis Mathematical physics Markov models Matrix theory Low-discrepancy sequence Markov chain Quasi-Monte Carlo method Eigenvalues and eigenvectors Matrix Mathematics Algebra Linear algebra
105	INFERENCE ON SPATIAL INFECTIOUS-DISEASE MODELS WITH PLANTATION DATA ALEXANDER REMOROVSUPERVISOR: PROF. JEFFREY ROSENTHAL Add to Reading List Source URL: probability.ca Language: English - Date: 2012-01-02 11:38:06 Probability and statistics Computational statistics Monte Carlo methods Statistical inference Hidden Markov model Markov chain Likelihood function Statistics Markov models Estimation theory
106	0.1 ei.dynamic: Quinn’s Dynamic Ecological Inference Model Given contingency tables with observed marginals, ecological inference (ei) models estimate Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Computational statistics Monte Carlo methods Markov chain Estimation theory Gibbs sampling Gamma distribution Statistics Markov models Probability and statistics
107	Markov chain Monte Carlo: Some practical implications of theoretical results by Gareth O. Roberts* and Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 20:52:08 Monte Carlo methods Markov chain Monte Carlo Stochastic processes Markov processes Markov chain Ergodicity Metropolis–Hastings algorithm Mixing Gibbs sampling Statistics Probability and statistics Markov models
108	Parameter Estimation of Generalized Exponential distribution using Markov Chain Monte Carlo Method for Informative set of priors Dr. Mahmood Alam Khan1 and Dr. Aijaz Ahmed Hakkak2 1 Add to Reading List Source URL: www.abhinavjournal.com Language: English - Date: 2013-12-17 06:28:00 Poisson processes Bayesian statistics Exponentials Exponential distribution Maximum likelihood Q-Q plot Normal distribution Bayes estimator Likelihood function Statistics Estimation theory Statistical inference
109	CURRICULUM VITAE Jeffrey S. Rosenthal (Last updated April 16, BIOGRAPHICAL INFORMATION: Personal: Add to Reading List Source URL: www.probability.ca Language: English - Date: 2015-04-16 10:11:05 Stochastic processes Markov chain Monte Carlo Markov processes Jeffrey S. Rosenthal Markov chain Metropolis–Hastings algorithm Random walk Stochastic Gibbs sampling Statistics Markov models Monte Carlo methods
110	Monte Carlo Filtering on Lie Groups Alessandro Chiuso 1 and Stefano Soatto 2 Abstract We propose a nonlinear lter for estimating the trajectory of a random walk on a matrix Lie group with constant computational complexi Add to Reading List Source URL: vision.ucla.edu Language: English - Date: 2007-12-16 20:03:10 Importance sampling Markov chain Monte Carlo Normal distribution Exponential map Stochastic process Monte Carlo integration Resampling Variance Expected value Statistics Monte Carlo methods Probability and statistics