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Importance sampling
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#	Item
21	Recap ... Importance sampling .... Add to Reading List Source URL: genome.sph.umich.edu Language: English - Date: 2012-10-31 21:29:49 Statistics Mathematical analysis Probability Monte Carlo methods Probability distributions Stochastic simulation Importance sampling Variance reduction Variance Uniform distribution
22	AND/OR Importance Sampling Vibhav Gogate and Rina Dechter Department of Information and Computer Science, University of California, Irvine, CA 92697, {vgogate,dechter}@ics.uci.edu Add to Reading List Source URL: www.hlt.utdallas.edu Language: English
23	Stochastic Gradient Descent with Importance Sampling Rachel Ward UT Austin Joint work with Deanna Needell (Claremont McKenna College) Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2014-08-12 15:41:58
24	AND/OR Importance Sampling Vibhav Gogate and Rina Dechter Department of Information and Computer Science, University of California, Irvine, CA 92697, {vgogate,dechter}@ics.uci.edu Add to Reading List Source URL: uai2008.cs.helsinki.fi Language: English - Date: 2008-05-16 11:15:26
25	Importance Sampling Microfacet-Based BSDFs using the Distribution of Visible Normals Eric Heitz, Eugene D’Eon To cite this version: Eric Heitz, Eugene D’Eon. Importance Sampling Microfacet-Based BSDFs using the Distr Add to Reading List Source URL: hal.inria.fr Language: English - Date: 2016-02-15 19:43:30
26	Weighted importance sampling for off-policy learning with linear function approximation A. Rupam Mahmood, Hado van Hasselt, Richard S. Sutton Reinforcement Learning and Artificial Intelligence Laboratory University of Al Add to Reading List Source URL: ualberta.ca Language: English - Date: 2014-11-04 21:28:59
27	Monday, Morning MCM2001 Schedule 08::45 Registration Add to Reading List Source URL: mcm2001.sbg.ac.at Language: English - Date: 2001-09-18 03:48:36 Probability and statistics Monte Carlo integration Quantum Monte Carlo Importance sampling Low-discrepancy sequence Variance reduction Stochastic Quasi-Monte Carlo methods in finance Monte Carlo methods for electron transport Monte Carlo methods Mathematics Randomness
28	Van Trees, Harry L., Kristine L. Bell with Zhi Tian. Detection, Estimation, and Modulation Theory – Part I – Detection, Estimation, and Filtering Theory. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013, 1151 pp. $ Add to Reading List Source URL: www.signalprocessingsociety.org Language: English - Date: 2013-06-11 15:41:17 Electronic engineering Statistical inference Linear filters Robot control Estimation theory Monte Carlo methods Kalman filter Nonlinear filter Importance sampling Statistics Control theory Signal processing
29	Sunday – afternoon 14:0015:00-16:00 Registration – Ground floor of “De nieuwe Valk” (until 17:00) Tutorial – Room A Add to Reading List Source URL: mcqmc2014.cs.kuleuven.be Language: English - Date: 2014-03-20 10:01:24 Mathematics Numerical analysis Markov models Computational statistics Estimation theory Stochastic differential equation Markov chain Monte Carlo Importance sampling Stochastic optimization Statistics Monte Carlo methods Probability and statistics
30	Simulation-based Bayesian Econometrics Lectures Instructor: Herman K. van Dijk, Econometric Institute, Erasmus University Rotterdam, Econometrics Department, VU University Amsterdam and Tinbergen Institute. Web: htt Add to Reading List Source URL: cmstatistics.org Language: English - Date: 2013-11-28 04:22:55 Economics Bayesian statistics Erasmus University Rotterdam Tinbergen Institute Importance sampling Bayesian econometrics Econometrics Desiderius Erasmus Statistics Probability and statistics Monte Carlo methods