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Monte Carlo algorithm
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81	Integrated Perception and Planning in the Continuous Space: A POMDP Approach Haoyu Bai David Hsu Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-09-25 21:49:37 Stochastic control Control theory Partially observable Markov decision process Monte Carlo POMDP Markov decision process Algorithm Maximum likelihood Statistics Dynamic programming Markov processes
82	Microsoft PowerPoint - 2013_Humies.pptx Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2013-07-05 18:30:31 Mathematical analysis Randomness Monte Carlo methods Cybernetics Genetic algorithm Random number generation Algorithm Numerical integration Monte Carlo integration Mathematics Applied mathematics Numerical analysis
83	PDF Document Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2013-06-23 23:45:38 Diophantine approximation Monte Carlo methods Operations research Low-discrepancy sequence Quasi-Monte Carlo method Halton sequence Algorithm Travelling salesman problem Dynamic programming Mathematics Applied mathematics Numerical analysis
84	Phase type distributions for competing risks Bo Henry Lindqvist* Norwegian University of Science and Technology, Trondheim, Norway Phase-type distributions represent the time to absorption for a finite st Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Markov chain Phase-type distribution Expectation–maximization algorithm Estimation theory Stochastic matrix Monte Carlo method Discrete phase-type distribution Statistics Markov models Probability and statistics
85	Multiple Imputation of Missing Values in Economic Surveys: Comparison of Competing Algorithms Masayoshi Takahashi* National Statistics Center, Tokyo, Japan Takayuki Ito National Statistics Center, Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:38:58 Markov models Computational statistics Imputation Monte Carlo methods Markov chain Monte Carlo Expectation–maximization algorithm Markov chain Bootstrapping SPSS Statistics Data analysis Missing data
86	Proactive Algorithms for Scheduling with Probabilistic Durations∗ J. Christopher Beck Department of Mechanical & Industrial Engineering University of Toronto, Canada Add to Reading List Source URL: tidel.mie.utoronto.ca Language: English - Date: 2006-01-18 12:07:28 Theoretical computer science Job shop scheduling Algorithm Mathematical optimization NP Optimization problem Search algorithm Monte Carlo method Shifting bottleneck heuristic Applied mathematics Operations research Mathematics
87	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: www.datamineit.com Language: English - Date: 2011-01-23 12:21:21 Data analysis Statistical tests Non-parametric statistics Resampling SAS Permutation Bootstrapping Fisher–Yates shuffle Algorithm Statistics Statistical inference Monte Carlo methods
88	Loss-calibrated Monte Carlo Action Selection Ehsan Abbasnejad Justin Domke NICTA & ANU Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-11-21 10:16:12 Statistical inference Monte Carlo methods Bayes estimator Bayesian inference Estimator Metropolis–Hastings algorithm Importance sampling Bias of an estimator Loss function Statistics Estimation theory Statistical theory
89	The detection algorithm is based on the rank R = ∑i wi nneg(mi - ai ) Where the sum goes over the 12 filter bank channels (RMS values) , i=1…12. R is calculated using weights wi , running average amplitudes ai (calcu Add to Reading List Source URL: babeta.ufa.cas.cz Language: English - Date: 2013-03-12 16:02:49 Non-parametric statistics Least squares Mathematical optimization Monte Carlo methods
90	Gentry Brochure.pub Add to Reading List Source URL: probability.ca Language: English - Date: 2007-02-05 09:34:27 Jeffrey S. Rosenthal Probability and statistics Markov chain Monte Carlo Markov chain Jeffrey Algorithm Statistics Markov models Monte Carlo methods

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