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Monte Carlo methods
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241	When are probabilistic programs probably computationally tractable? Cameron E. Freer Univ. of Hawai‘i at M¯anoa Add to Reading List Source URL: web.mit.edu Language: English - Date: 2011-01-31 01:40:47 Monte Carlo methods Computational statistics Statistical models Markov chain Monte Carlo Bayesian inference Gibbs sampling Normal distribution Posterior probability Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
242	Scaling-up Importance Sampling for Markov Logic Networks Vibhav Gogate Department of Computer Science University of Texas at Dallas Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-10-31 21:56:53 Monte Carlo methods Data analysis Artificial intelligence Markov logic network Gibbs sampling Importance sampling Bayesian inference Sampling First-order logic Statistics Statistical inference Bayesian statistics
243	Monte Carlo Methods in Particle Physics Bryan Webber University of Cambridge IMPRS, MunichNovember 2007 Add to Reading List Source URL: www.hep.phy.cam.ac.uk Language: English - Date: 2007-11-11 13:20:43 Probability and statistics Applied mathematics Numerical analysis Event generator Importance sampling Hadronization Quasi-Monte Carlo method Monte Carlo methods in finance Monte Carlo methods Physics Computational physics
244	Bayesian hierarchical methods for sea turtle mixed stock analysis Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2004-01-05 20:32:18 Computational statistics Data analysis Population genetics Haplotype Markov chain Monte Carlo Estimation theory Bootstrapping Sea turtle Bayesian inference Statistics Statistical inference Bayesian statistics
245	Approximate Counting by Sampling the Backtrack-free Search Space Vibhav Gogate and Rina Dechter Donald Bren School of Information and Computer Science, University of California, Irvine, CA 92697, {vgogate,dechter}@ics.uc Add to Reading List Source URL: sami.ics.uci.edu Language: English - Date: 2007-08-17 19:31:44 Computing Partial differential equations Importance sampling Variance reduction Lookup table Monte Carlo integration Boolean satisfiability problem Monte Carlo methods Theoretical computer science Mathematics
246	Markov Chain Monte Carlo (and Bayesian Mixture Models) David M. Blei Columbia University October 14, 2014 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Statistical models Monte Carlo methods Markov models Expectation–maximization algorithm Mixture model Gibbs sampling Conjugate prior Markov chain Monte Carlo Variational Bayesian methods Statistics Bayesian statistics Estimation theory
247	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: interstat.statjournals.net Language: English - Date: 2012-06-05 16:13:14 Data analysis Statistical tests Non-parametric statistics Resampling SAS Permutation Bootstrapping Fisher–Yates shuffle Missing data Statistics Statistical inference Monte Carlo methods
248	MONTE-CARLO METHODS IN GLOBAL ILLUMINATION Script written by Szirmay-Kalos L´aszl´o Add to Reading List Source URL: sirkan.iit.bme.hu Language: English - Date: 2008-09-22 08:14:05 Imaging Rendering Radiosity CIE 1931 color space Global illumination Radiance Ray tracing Path tracing Photon tracing 3D computer graphics Computer graphics Optics
249	PRACTICAL POLICY ITERATION: GENERIC METHODS FOR OBTAINING RAPID AND TIGHT BOUNDS FOR BERMUDAN EXOTIC DERIVATIVES USING MONTE CARLO SIMULATION CHRISTOPHER BEVERIDGE AND MARK JOSHI Abstract. We introduce a set of improveme Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2013-08-05 02:12:16 Randomness Mathematical finance Options Investment Numerical analysis Interest rate derivative LIBOR market model Control variates Iteration Financial economics Mathematical sciences Applied mathematics
250	Monte Carlo Methods in Particle Physics Bryan Webber University of Cambridge IMPRS, MunichNovember 2007 Add to Reading List Source URL: www.hep.phy.cam.ac.uk Language: English - Date: 2007-11-11 13:26:22 Standard Model Quantum field theory Rotational symmetry W and Z bosons Spin Physics Particle physics Electroweak theory

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