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Monte Carlo algorithm
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#	Item
211	Autocorrelation functions Value of some quantity at Monte Carlo step i: Add to Reading List Source URL: physics.bu.edu Language: English - Date: 2013-11-19 10:51:03 Statistical mechanics Covariance and correlation Time series analysis Lattice models Signal processing Ising model Autocorrelation Chemical bond Swendsen–Wang algorithm Physics Statistics Probability and statistics
212	Lecture notes on Markov Chain Monte Carlo methods Furio Ercolessi Dipartimento di Fisica, Universit` Add to Reading List Source URL: www.fisica.uniud.it Language: English - Date: 2009-03-30 07:06:17 Probability and statistics Monte Carlo methods Markov chain Monte Carlo Markov chain Metropolis–Hastings algorithm Stochastic matrix Chapman–Kolmogorov equation Detailed balance Expected value Statistics Markov models Markov processes
213	PVeStA: A Parallel Statistical Model Checking and Quantitative Analysis Tool Musab AlTurki and Jos´e Meseguer Add to Reading List Source URL: maude.cs.uiuc.edu Language: English - Date: 2011-05-18 16:24:10 Probabilistic complexity theory Model checking Monte Carlo method Markov chain Stochastic Randomized algorithm Probabilistic CTL Probability and statistics Theoretical computer science Statistics
214	Integrated autocorrelation times -  z=0 for Swendsen-Wang in two dimensions -  but there is a log-correction; log-divergence of autocorrelation time Add to Reading List Source URL: physics.bu.edu Language: English - Date: 2013-11-19 10:51:09 S0 Statistical mechanics Monte Carlo methods Swendsen–Wang algorithm
215	Simulation Algorithms for Continuous Time Markov Chain Models H.T. Banks1 , Anna Broido2 , Brandi Canter3 , Kaitlyn Gayvert4 , Add to Reading List Source URL: www.ncsu.edu Language: English - Date: 2011-12-14 16:28:37 Probability and statistics Markov models Monte Carlo methods Stochastic simulation Markov chain Gillespie algorithm Continuous-time Markov process Stochastic Algorithm Statistics Stochastic processes Markov processes
216	Wang-Landau sampling for Quantum Monte Carlo Stefan Wessel Add to Reading List Source URL: www.comp-phys.org Language: English - Date: 2007-06-01 03:38:15 Condensed matter physics Density of states Quantum mechanics Metropolis–Hastings algorithm Wang and Landau algorithm Topological order Physics Statistical mechanics Markov chain Monte Carlo
217	Monte Carlo sampling of solutions to inverse problems Klaus Mosegaard Niels Bohr Institute for Astronomy, Physics and Geophysics, Copenhagen Add to Reading List Source URL: www.ipgp.fr Language: English - Date: 2004-10-25 00:36:05 Monte Carlo methods Statistical theory Estimation theory Markov chain Monte Carlo Metropolis–Hastings algorithm Maximum a posteriori estimation Normal distribution Random walk Probability distribution Statistics Probability and statistics Bayesian statistics
218	September 13, 2011 VITA Add to Reading List Source URL: www.stat.ufl.edu Language: English - Date: 2011-09-13 18:23:11 Estimation theory Statistical theory Monte Carlo methods Markov chain Monte Carlo Linear regression Confidence interval Interval estimation Empirical Bayes method Expectation–maximization algorithm Statistics Statistical inference Econometrics
219	c 2004 Society for Industrial and Applied Mathematics SIAM REVIEW Add to Reading List Source URL: www.stanford.edu Language: English - Date: 2010-04-06 14:17:27 Probability and statistics Markov processes Matrices Monte Carlo methods Markov chain Stochastic processes Metropolis–Hastings algorithm Stochastic matrix Semidefinite programming Statistics Markov models Mathematics
220	Particle Methods for Change Detection, System Identification, and Control CHRISTOPHE ANDRIEU, ARNAUD DOUCET, SUMEETPAL S. SINGH, Add to Reading List Source URL: www-sigproc.eng.cam.ac.uk Language: English - Date: 2004-11-02 12:26:30 Robot control Statistical inference Statistical theory Particle filter Maximum likelihood Importance sampling Expectation–maximization algorithm Resampling Normal distribution Statistics Estimation theory Monte Carlo methods

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