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Monte Carlo methods
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#	Item
131	A New Approach to Probabilistic Programming Inference Frank Wood Department of Engineering University of Oxford Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2015-06-02 07:22:01 Statistical theory Bayesian statistics Statistical inference Hidden Markov model Importance sampling Normal distribution Mixture model Bayesian inference Joint probability distribution Statistics Probability and statistics Monte Carlo methods
132	Progress in NUCLEAR SCIENCE and TECHNOLOGY, Vol. 2, ppARTICLE Some Considerations in Devising Effective SCALE6/MAVRIC Models for Large Shielding Applications Add to Reading List Source URL: www.aesj.or.jp Language: English - Date: 2012-01-04 00:28:51 Statistics Mathematics Numerical analysis Probabilistic complexity theory Importance sampling Stochastic Monte Carlo methods Variance reduction Probability and statistics
133	INFERENCE ON SPATIAL INFECTIOUS-DISEASE MODELS WITH PLANTATION DATA ALEXANDER REMOROVSUPERVISOR: PROF. JEFFREY ROSENTHAL Add to Reading List Source URL: probability.ca Language: English - Date: 2012-01-02 11:38:06 Probability and statistics Computational statistics Monte Carlo methods Statistical inference Hidden Markov model Markov chain Likelihood function Statistics Markov models Estimation theory
134	0.1 ei.dynamic: Quinn’s Dynamic Ecological Inference Model Given contingency tables with observed marginals, ecological inference (ei) models estimate Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Computational statistics Monte Carlo methods Markov chain Estimation theory Gibbs sampling Gamma distribution Statistics Markov models Probability and statistics
135	Markov chain Monte Carlo: Some practical implications of theoretical results by Gareth O. Roberts* and Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 20:52:08 Monte Carlo methods Markov chain Monte Carlo Stochastic processes Markov processes Markov chain Ergodicity Metropolis–Hastings algorithm Mixing Gibbs sampling Statistics Probability and statistics Markov models
136	Pose Estimation for Contact Manipulation with Manifold Particle Filters Michael C. Koval Mehmet R. Dogar Nancy S. Pollard Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2013-05-18 23:41:21 Estimation theory Robot control Linear filters Signal processing Monte Carlo methods Particle filter Recursive Bayesian estimation Kalman filter Simultaneous localization and mapping Statistics Control theory Electronic engineering
137	Pose Estimation for Contact Manipulation with Manifold Particle Filters Michael C. Koval Mehmet R. Dogar Nancy S. Pollard Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2013-08-19 15:30:49 Statistics Linear filters Robot control Monte Carlo methods Computational statistics Particle filter Kalman filter XT Recursive Bayesian estimation Control theory Electronic engineering Estimation theory
138	Graduate student ACM Student Member Number: Advisor: Prof. Xin Li Member of ACM SIGDA: yes Add to Reading List Source URL: src.acm.org Language: English - Date: 2015-05-18 11:00:35 Failure Survival analysis Markov models Estimation theory Importance sampling Failure rate Sampling Reliability engineering Probability distribution Statistics Probability and statistics Monte Carlo methods
139	Software EIC collaboration: tools & accessibility Thomas Burton BNL EIC meeting at Stony Brook Add to Reading List Source URL: wiki.bnl.gov Language: English - Date: 2010-04-06 17:01:39 PYTHIA Monte Carlo methods Quantum chromodynamics Event generator Scattering Parton Physics Particle physics Computational physics
140	Mathematics-in-Industry Case Studies Journal, Volume 2, ppOptimized Least-squares Monte Carlo for Measuring Counterparty Credit Exposure of American-style Options Kin Hung (Felix) Kan Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2015-03-23 09:45:54 Economics Mathematical finance Computational statistics Monte Carlo methods Econometrics Antithetic variates Control variates Futures contract Linear regression Statistics Financial economics Options