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Monte Carlo integration
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41	Merging Simulation and Projection Approaches to Solve High-Dimensional Problems Kenneth L. Judd, Lilia Maliar and Serguei Maliar Stanford University, 2012 Add to Reading List Source URL: stanford.edu Language: English - Date: 2012-11-08 23:41:32 Maliar Surnames Monte Carlo integration Curse of dimensionality Algorithm Ergodic theory Asia Numerical analysis Mathematics Applied mathematics
42	Merging Simulation and Projection Approaches to Solve High-Dimensional Problems Kenneth L. Judd, Lilia Maliar and Serguei Maliar Stanford University, 2012 Add to Reading List Source URL: stanford.edu Language: English - Date: 2012-11-08 23:41:18 Maliar Surnames Monte Carlo integration Curse of dimensionality Algorithm Ergodic theory Asia Numerical analysis Mathematics Applied mathematics
43	NBER WORKING PAPER SERIES A CLUSTER-GRID PROJECTION METHOD: SOLVING PROBLEMS WITH HIGH DIMENSIONALITY Kenneth L. Judd Lilia Maliar Add to Reading List Source URL: stanford.edu Language: English - Date: 2010-08-27 18:08:38 Numerical analysis Data analysis Multivariate statistics Cluster analysis Numerical integration Ergodic theory K-means clustering Monte Carlo method Gauss–Hermite quadrature Statistics Applied mathematics Probability and statistics
44	SEMESTER 1 Statistics Track UE - Advanced Topics in Probability and Statistics Probability, Algebra, and Analysis Statistical Inference and Hypothesis Testing Simulation and Monte Carlo Integration Methods Add to Reading List Source URL: www.ensai.fr Language: English - Date: 2014-04-04 11:08:11 Knowledge Course credit Grade Data mining Education Academia Academic transfer
45	Monte Carlo Methods in Statistical Mechanics: Foundations and New Algorithms Add to Reading List Source URL: www.fisica.uniud.it Language: English - Date: 2010-07-23 12:52:30 Numerical analysis Statistical mechanics Markov processes Monte Carlo methods Markov chain Autocorrelation Numerical integration Joint probability distribution Gibbs measure Statistics Probability and statistics Markov models
46	Monte Carlo Integration “Monte Carlo” methods use random numbers for sampling Although somewhat less glamorous than gambling devices Add to Reading List Source URL: physics.bu.edu Language: English - Date: 2013-09-17 12:29:15 Numerical analysis Monte Carlo integration Computational physics Variance reduction Statistical theory Normal distribution Numerical integration Errors and residuals in statistics Probability distribution Statistics Probability and statistics Monte Carlo methods
47	Stochastic Simulation and Monte Carlo Methods Andreas Hellander Add to Reading List Source URL: www.it.uu.se Language: English - Date: 2009-12-07 09:36:34 Monte Carlo methods Randomness Numerical analysis Probability theory Normal distribution Stochastic process Monte Carlo integration Expected value Random variable Statistics Probability and statistics Mathematics
48	Phenomenology at collider experiments @let@token [Part 5: MC generators] Add to Reading List Source URL: www.stfc.ac.uk Language: English - Date: 2011-09-08 08:12:51 Experimental particle physics Variance reduction Hadronization Phenomenology Monte Carlo integration Importance sampling Numerical integration Integral Physics Monte Carlo methods Particle physics
49	Monte Carlo Techniques for Direct Lighting Calculations To Appear in ACM Transactions on Graphics Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2003-06-24 15:10:08 Mathematical analysis Probability theory Variance reduction Importance sampling Monte Carlo integration Probability density function Variance Probability distribution Expected value Statistics Monte Carlo methods Probability and statistics
50	PDF Document Add to Reading List Source URL: www.foo.be Language: English - Date: 2001-09-03 16:51:47 Randomness Monte Carlo methods Diophantine approximation Low-discrepancy sequence Monte Carlo integration Halton sequence Pseudorandomness Importance sampling Numerical integration Mathematics Applied mathematics Numerical analysis