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Monte Carlo methods
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161	COMPSCI 276 Homework Assignment 6 Fall 2014 Instructor: Rina Dechter Due: Wednesday November 26th, Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-11-21 15:21:01 Monte Carlo methods Gibbs sampling Importance sampling Bayesian network Posterior probability Conditional probability Sampling Information bottleneck method Markov chain Statistics Bayesian statistics Markov chain Monte Carlo
162	Package ‘Runuran’ February 19, 2015 Type Package Title R interface to the UNU.RAN random variate generators VersionDate Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-02-19 16:36:26 Randomness Probability theory Monte Carlo methods Inverse transform sampling Probability distribution Quantile function Normal distribution Random number generation Probability mass function Probability and statistics Statistics Non-uniform random numbers
163	FEBRUARYTORN AND HAKIM 663 Add to Reading List Source URL: www.atmos.washington.edu Language: English - Date: 2008-04-03 14:43:27 Statistics Statistical forecasting Bayesian statistics Weather prediction Monte Carlo methods Forecast error Data assimilation Forecasting Sensitivity analysis Atmospheric sciences Meteorology Estimation theory
164	Cutset sampling for Bayesian networks Cutset sampling for Bayesian networks Bozhena Bidyuk Rina Dechter Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-07-22 20:30:52 Graphical models Monte Carlo methods Bayesian statistics Probability theory Networks Decomposition method Bayesian network Markov random field Gibbs sampling Statistics Graph theory Probability and statistics
165	A Monte Carlo comparison of estimators for a bivariate probit model with selection Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 17:42:07 Statistical inference Data analysis Single equation methods Heckman correction Probit Estimator Choice modelling Normal distribution Censoring Statistics Econometrics Regression analysis
166	Sampling Techniques for Probabilistic and Deterministic Graphical models Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-11-19 16:19:36 Probability and statistics Importance sampling Markov chain Monte Carlo Gibbs sampling Bayesian network Markov chain Variance reduction Probabilistic logic Sampling Statistics Monte Carlo methods Computational statistics
167	Revisit of Monte Carlo Methods on Solving LargeScale Linear Systems YAOHANG LI, PH.D. DEPARTMENT OF COMPUTER SCIENCE OLD DOMINION UNIVERSITY Add to Reading List Source URL: math.nist.gov Language: English - Date: 2014-11-05 16:44:51 Matrix theory Numerical linear algebra Matrix Krylov subspace Eigenvalues and eigenvectors John von Neumann Determinant Singular value decomposition Eigendecomposition of a matrix Algebra Mathematics Linear algebra
168	Graph-‐guided Sampling Rina Dechter Bren school of Informa3on and Computer Sciences University of California, Irvine Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-12-28 01:48:25 CDC software COMPASS/Sample Code Statistical inference GEC Bayesian statistics Statistics Monte Carlo methods
169	Quantifying verification uncertainty by reference data variation Manfred Dorninger and Theresa Gorgas Contents: Add to Reading List Source URL: cawcr.gov.au Language: English - Date: 2011-12-13 21:03:20 Measurement Geostatistics Interpolation Kriging Resampling Verification Bootstrapping Uncertainty Statistics Statistical inference Monte Carlo methods
170	Boundary Conditions for Limited-Area Ensemble Kalman Filters Ryan D. Torn1 & Gregory J. Hakim University of Washington, Seattle, WA Chris Snyder2 Add to Reading List Source URL: www.atmos.washington.edu Language: English - Date: 2005-01-05 20:02:06 Prediction Bayesian statistics Estimation theory Monte Carlo methods Statistical forecasting Ensemble Kalman filter Data assimilation Ensemble forecasting Numerical weather prediction Science Statistics Weather prediction

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