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Monte Carlo algorithm
Results: 237

#	Item
111	A New Method to Determine the Tool Count of a Semiconductor Factory Using FabSim Add to Reading List Source URL: www.informs-sim.org Language: English - Date: 2004-11-11 03:50:10 Monte Carlo methods Simulation Stochastic optimization Mathematical optimization Simulated annealing Algorithm Semiconductor device fabrication Wafer Mathematical sciences Operations research Applied mathematics Mathematics
112	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
113	Walk, Not Wait: Faster Sampling Over Online Social Networks Azade Nazi‡ , Zhuojie Zhou†† , Saravanan Thirumuruganathan‡ , Nan Zhang†† , Gautam Das‡ ‡ ‡ Add to Reading List Source URL: www.vldb.org Language: English - Date: 2015-01-10 21:47:47 Statistical inference Non-uniform random numbers Markov chain Monte Carlo Random walk Rejection sampling Metropolis–Hastings algorithm Sample size determination Estimation theory Connectivity Statistics Monte Carlo methods Sampling
114	Bayesian Network Models for Generation of Crisis Management Training Scenarios Eugene Grois, William H. Hsu, Mikhail Voloshin, David C. Wilkins Beckman Institute, University of Illinois at Urbana-Champaign {e-grois \| w-h Add to Reading List Source URL: www.kddresearch.org Language: English - Date: 2006-10-04 02:57:59 Bayesian statistics Computational science Bayesian network Networks Monte Carlo method Influence diagram Algorithm Bayesian inference Simulation Statistics Probability and statistics Science
115	A Particle Filter algorithm for Bayesian Wordsegmentation Mark Johnson Department of Computing Macquarie University Sydney [removed] Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2011-12-09 02:13:49 Monte Carlo methods Markov models Estimation theory Natural language processing Particle filter N-gram Segmentation Language model Markov chain Monte Carlo Statistics Probability and statistics Computational statistics
116	Permutation Tests (and Sampling Without Replacement) Orders of Magnitude Faster Using SAS® John Douglas (“J.D.”) Opdyke,* DataMineIt Abstract Six permutation test algorithms coded in SAS® are compared. The fastest Add to Reading List Source URL: www.datamineit.com Language: English - Date: 2011-01-23 12:21:21 Data analysis Statistical tests Non-parametric statistics Resampling SAS Permutation Bootstrapping Fisher–Yates shuffle Algorithm Statistics Statistical inference Monte Carlo methods
117	SJNW902-03-NO00008769.tex Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2006-07-05 11:20:50 Monte Carlo methods Normal distribution Markov chain Metropolis–Hastings algorithm WinBUGS Gamma distribution Statistics Probability and statistics Markov models
118	PARAMETER AND STATE MODEL REDUCTION FOR LARGE-SCALE STATISTICAL INVERSE PROBLEMS CHAD LIEBERMAN∗ , KAREN WILLCOX† , AND OMAR GHATTAS‡ Abstract. A greedy algorithm for the construction of a reduced model with reduct Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2010-09-23 10:19:59 Markov models Monte Carlo methods Statistical theory Markov chain Monte Carlo Inverse problem Parameter space Markov chain Estimation theory Bayesian inference Statistics Statistical inference Bayesian statistics
119	Microsoft Word - scai_hamalainen5.doc Add to Reading List Source URL: www.stes.fi Language: English - Date: 2006-10-20 01:29:00 Mathematics Statistics Evolutionary algorithms Variance reduction Cybernetics Genetic algorithm Monte Carlo integration Global optimization Importance sampling Monte Carlo methods Mathematical optimization Applied mathematics
120	A NOTE ON MONTE CARLO PRIMALITY TESTS AND ALGORITHMIC INFORMATION THEORY Communications on Pure and Applied Add to Reading List Source URL: www.multimedialibrary.com Language: English - Date: 2014-03-05 10:33:18 Randomness Probabilistic complexity theory Modular arithmetic Randomized algorithm Primality certificate Prime number Monte Carlo algorithm Algorithmic information theory Gregory Chaitin Mathematics Primality tests Integer sequences

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