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Monte Carlo algorithm
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161	A Neurobiologically Motivated Stochastic Method for Analysis of Human Activities in Video Ricky J. Sethi UC Riverside [removed] Add to Reading List Source URL: research.sethi.org Language: English - Date: 2010-05-15 03:05:32 Probability and statistics Markov models Computational statistics Hamiltonian mechanics Symplectic geometry Markov chain Monte Carlo Markov chain Hybrid Monte Carlo Metropolis–Hastings algorithm Statistics Physics Monte Carlo methods
162	Curve Sampling and Geometric Conditional Simulation by Ayres C. Fan B.S., Electrical Engineering University of Minnesota, 2000 S.M., Electrical Engineering and Computer Science Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:49 Applied mathematics Monte Carlo methods Markov chain Monte Carlo Theoretical computer science Computational statistics Markov chain Metropolis–Hastings algorithm Gibbs sampling Segmentation Statistics Probability and statistics Markov models
163	CALIFORNIA STATE SCIENCE FAIR 2007 PROJECT SUMMARY Name(s) Jacob A. Braun Add to Reading List Source URL: www.usc.edu Language: English - Date: 2007-05-09 23:35:42 Probability and statistics Random number generation Pseudorandomness Algorithm Shuffling Pseudorandom number generator The Art of Computer Programming Dice Monte Carlo method Randomness Mathematics Applied mathematics
164	Simultaneous Localization and Grasping Using Belief Space Planning Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract— Most approaches to grasp planning assume that the configurations of the Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2011-05-03 00:10:43 Robot control Estimation theory Monte Carlo method Numerical analysis Probabilistic complexity theory Algorithm Particle filter Partially observable Markov decision process Computational complexity theory Statistics Applied mathematics Probability and statistics
165	OpenFTA Fault Tree Analysis for the most demanding studies Advanced Graphical User Interface Add to Reading List Source URL: www.openfta.com Language: English - Date: 2012-01-06 11:06:15 Science Safety engineering Systems engineering Ú Fault tree analysis Simulation Monte Carlo method Algorithm Database Applied mathematics Reliability engineering Mathematics
166	Efficient Hierarchical MCMC for Policy Search Malcolm Strens [removed] Room G020, A9 Building, QinetiQ, Ively Road, Farnborough, Hampshire, GU14 0LX, UK. Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:41 Applied mathematics Computational statistics Markov models Markov chain Monte Carlo Estimation theory Particle filter Metropolis–Hastings algorithm Parallel tempering Markov chain Statistics Monte Carlo methods Probability and statistics
167	37. Monte Carlo techniques[removed]MONTE CARLO TECHNIQUES Revised September 2011 by G. Cowan (RHUL). Monte Carlo techniques are often the only practical way to evaluate difficult integrals or to sample random variables go Add to Reading List Source URL: pdg.lbl.gov Language: English - Date: 2012-06-18 19:20:32 Mathematics Non-uniform random numbers Randomness Estimation theory Normal distribution Gamma distribution Rejection sampling Inverse transform sampling Metropolis–Hastings algorithm Statistics Probability and statistics Monte Carlo methods
168	Exact Stochastic Simulation of Chemical Reactions with Cycle Leaping* Marc D. Riedel University of Minnesota 200 Union St. S.E. Minneapolis, MN 55455 Add to Reading List Source URL: www.paradise.caltech.edu Language: English - Date: 2006-12-21 09:44:27 Computational chemistry Chemistry Statistical mechanics Monte Carlo methods Chemical kinetics Gillespie algorithm Stochastic simulation Markov chain Langevin equation Statistics Stochastic processes Probability and statistics
169	17 March 2014 Might as well Toss a Coin: How Random Numbers help us find Exact Solutions Add to Reading List Source URL: www.gresham.ac.uk Language: English - Date: 2014-03-18 05:56:17 Applied mathematics Probabilistic complexity theory Probability theory Theoretical computer science Random variable Monte Carlo method Random number generation Coin flipping Randomized algorithm Probability and statistics Randomness Mathematics
170	Discussion of Particle Markov chain Monte Carlo methods by Andrieu et al. Anindya Bhadra, Department of Statistics, University of Michigan, Ann Arbor, MI[removed]USA The authors present an elegant theory for novel methodo Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2013-03-19 13:46:14 Statistical theory Statistical inference Likelihood function Maximum likelihood Iterated filtering Bayesian inference Expectation–maximization algorithm Statistics Estimation theory Bayesian statistics

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