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Stochastic simulation
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31	Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1376 Stochastic Simulation of Multiscale Reaction-Diffusion Models via First Exit Times Add to Reading List Source URL: uu.diva-portal.org Language: English - Date: 2016-05-10 07:40:41
32	Statistics 542 Spring 2016 Course Description: Bayesian Methods and Computation The goal of this course is to develop sophisticated tools for probability modeling and data analysis from the Bayesian perspective. Key topi Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2015-12-20 15:57:51 Statistics Statistical theory Statistical inference Statistical models Sampling techniques Statistical mechanics Stochastic simulation Bayesian network Bayesian inference Bayesian statistics Bayesian Monte Carlo method
33	The Heston Stochastic-Local Volatility Model: Efficient Monte Carlo Simulation Anthonie W. van der Stoepb,c∗ Lech A. Grzelakb,c Cornelis W. Oosterleea,c Add to Reading List Source URL: ta.twi.tudelft.nl Language: English - Date: 2013-06-12 07:19:32
34	/home/takeuchi/shogi-ec-quiesce.ps Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:38 Game artificial intelligence Electronic games Monte Carlo methods Combinatorial game theory Monte Carlo tree search Stochastic simulation Computer Go UCT Elo rating system Receiver operating characteristic Evaluation Computer chess
35	CrossMark_Color_Stacked_p Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-08-01 18:02:33 Statistics Statistical theory Philosophy Philosophy of science Statistical inference Sampling techniques Statistical mechanics Stochastic simulation Bayesian network Bayesian inference Inference Monte Carlo method
36	Stochastic Activity Authoring with Direct User Control Aline Normoyle∗ University of Pennsylvania Maxim Likhachev † Carnegie Mellon University Add to Reading List Source URL: www.alinenormoyle.com Language: English - Date: 2014-03-08 16:49:28 Simulation Stochastic processes Operations research Scientific modeling Models of computation Markov chain Random walk Crowd simulation Agent-based model Stochastic Traffic flow
37	Combining Final Score with Winning Percentage by Sigmoid Function in Monte-Carlo Simulations Kazutomo SHIBAHARA Abstract— Monte-Carlo method recently has produced good results in Go. Monte-Carlo Go uses a move which ha Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:33 Mathematics Game artificial intelligence Applied mathematics Statistics Monte Carlo methods Combinatorial game theory Monte Carlo tree search Stochastic simulation Computer Go Minimax Simulation Monte Carlo
38	The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty Ron Alterovitz Thierry Sim´eon Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2007-06-02 12:59:23 Probability theory Mathematical analysis Mathematics Markov processes Robot control Classical mechanics Markov models Dynamic programming Motion planning Stochastic roadmap simulation Probabilistic roadmap Markov decision process
39	A Simple Sequential Algorithm for Approximating Bayesian Inference Elizabeth Bonawitz, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths {liz b, smdeniso, c annie, gopnik, tom griffiths}@berkeley.edu De Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Statistics Sampling techniques Statistical mechanics Stochastic simulation Statistical theory Statistical inference Bayesian inference Bayesian network Particle filter Bayesian probability Monte Carlo method Bayesian statistics
40	INFORMS MATHEMATICS OF OPERATIONS RESEARCH Vol. 00, No. 0, Xxxxx 0000, pp. 000–000 issn 0364-765X \| eissn \| 00 \| 0000 \| 0001 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-03 20:28:24 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Stochastic simulation Loss function Bayes estimator Reinforcement learning Sampling Posterior probability Confidence interval

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