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Particle statistics
Results: 354

#	Item
241	Efficient estimation and ensemble generation in climate modelling By J.D. Annan and J. C. Hargreaves FRCGC/JAMSTEC[removed]Showa-machi Kanazawa-ku Yokohama, Kanagawa[removed], Japan Add to Reading List Source URL: www.jamstec.go.jp Language: English - Date: 2007-07-17 22:31:28 Estimation theory Robot control Statistical inference Linear filters Ensemble Kalman filter Particle filter Markov chain Monte Carlo Kalman filter Importance sampling Statistics Monte Carlo methods Probability and statistics
242	Statistical Issues in Particle Physics – A View from BaBar Frank Porter Caltech (For the BaBar Collaboration) Outline BaBar Analysis Organization (1 slide) Add to Reading List Source URL: www.hep.caltech.edu Language: English - Date: 2003-09-12 17:56:46 Scientific method Statistical inference Research methods Estimation theory Econometrics Confidence interval Analysis Frequency modulation Interval estimation Science Statistics Information
243	Proposal/Contract no.: [removed]Project start: September 1, 2006 Project end: August 31, 2009 INTAMAP Interoperability and Automated Mapping Add to Reading List Source URL: www.intamap.org Language: English - Date: 2009-11-09 05:05:53 Bayesian statistics Robot control Computational statistics Variational Bayesian methods Particle filter Normal distribution Marginal likelihood Gaussian process Importance sampling Statistics Estimation theory Monte Carlo methods
244	PHYSTAT2003, SLAC, Stanford, California, September 8-11, 2003 Statistical Issues in Particle Physics – A View from BaBar 1 CALT[removed] Add to Reading List Source URL: www.hep.caltech.edu Language: English - Date: 2003-11-21 12:49:29 BaBar experiment Maximum likelihood Confidence interval Likelihood function Statistical significance Coverage probability Estimator Normal distribution Asymmetry Statistics Estimation theory Statistical inference
245	Ultrafine Particle (UFP) Number Concentrations during the Harbor Communities Monitoring Study Katharine Moore1, Meg Krudysz2, Payam Pakbin1, Neelakshi Hudda1, Constantinos Sioutas1 1 Sonny Add to Reading List Source URL: www.arb.ca.gov Language: English - Date: 2008-04-25 17:22:52 Homogeneity and heterogeneity Nanoparticle Chemistry Spatial variability Homogeneity Nanomaterials Statistics Ultrafine particle
246	Particle Swarm Optimization and gravitational wave data analysis: Performance on a binary inspiral testbed Yan Wang Department of Astronomy, Nanjing University, Nanjing, 210093, China∗ Soumya D. Mohanty Add to Reading List Source URL: cgwa.phys.utb.edu Language: English - Date: 2013-10-02 13:39:40 Parameter Estimator Matched filter Normal distribution Estimation theory Statistics Statistical inference
247	Non-Gaussian Belief Space Planning: Correctness and Complexity Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, Russ Tedrake Abstract— We consider the partially observable control problem where it is potentially nec Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:18:06 Estimation theory Robot control Probability and statistics Normal distribution Particle filter Pi Statistics Mathematical analysis Monte Carlo methods
248	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2011-10-05 18:46:47 Robot control Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Estimation theory
249	Logical Particle Filtering Luke S. Zettlemoyer, Hanna M. Pasula, and Leslie Pack Kaelbling MIT CSAIL {lsz,pasula,lpk}@csail.mit.edu Abstract. In this paper, we consider the problem of filtering in relational hidden Mark Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-07-22 10:19:15 Design of experiments Statistical inference Markov models Statistical hypothesis testing Hidden Markov model Particle filter H0 LSZ reduction formula Statistics Hypothesis testing Robot control
250	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]August 27, 2011 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:52 Kalman filter Normal distribution Partially observable Markov decision process Maximum likelihood Particle filter Statistical hypothesis testing Statistics Robot control Estimation theory