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Particle statistics
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#	Item
181	A Bayesian marine debris detector using existing hydrographic data products Giuseppe Masetti1,* and Brian Calder2,* 1 Tel: +[removed], email: [removed]; 2email: [removed] Add to Reading List Source URL: ccom.unh.edu Language: English - Date: 2014-12-11 13:06:17 Science Nuclear physics Statistical theory Bayesian inference Statistical forecasting Statistical inference Particle-induced X-ray emission Prior probability Physics Statistics Bayesian statistics
182	CDF/PHYS/BOTTOM/CDFR/9787 DØ Note 5928-CONF Version 1.1 July 22, 2009 Combination of DØ and CDF Results on ∆Γs and the CP-Violating Phase βsJ/ψφ Add to Reading List Source URL: www-cdf.fnal.gov Language: English - Date: 2009-07-22 16:43:52 Baryons Quarks Estimation theory Statistical theory Likelihood function Xi baryon D0 experiment Normal distribution Tevatron Physics Statistics Particle physics
183	Department of Automatic Control & Systems Engineering would like to announce the following seminar: Localisation in Wireless Networks Using Monte Carlo Methods Speaker: Dr Mila Mihaylova Add to Reading List Source URL: www.sheffield.ac.uk Language: English - Date: 2011-07-19 20:20:18 Statistics Particle filter Monte Carlo method Wireless sensor network Received signal strength indication Wireless network Wireless ad-hoc network Estimation theory Localization Wireless networking Technology Wireless
184	Mobility Tracking in Cellular Networks with Sequential Monte Carlo Filters Lyudmila Mihaylova∗ , David Bull∗ , Donka Angelova∗∗ and Nishan Canagarajah∗ ∗ Department of Electrical and Electronic Engineering, U Add to Reading List Source URL: eprints.lancs.ac.uk Language: English - Date: 2011-01-27 19:54:54 Control theory Estimation theory Electronic engineering Signal processing Linear filters Kalman filter Particle filter Vehicle Identification Number Markov chain Statistics Robot control Markov models
185	Appl Phys B[removed]: 403–409 DOI[removed]s00340[removed]Linear optimal control for tracking a single fluorescent particle in a confocal microscope S.B. Andersson · T. Sun Add to Reading List Source URL: people.bu.edu Language: English - Date: 2009-02-04 20:36:10 Robot control Linear filters Electronic engineering Control theory Kalman filter Gaussian function Estimation theory Fluorescence correlation spectroscopy Science Signal processing Statistics
186	Particle Filtering with Factorized Likelihoods for Tracking Facial Features I. Patras and M. Pantic Knowledge and Data Engineering Group Delft University of Technology Mekelweg 4, 2628 CD Delft The Netherlands Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2010-11-25 10:09:18 Physics Matter Statistics Particle filter Robot control Leptons Particle Auxiliary particle filter Neutrino Monte Carlo methods Computational statistics Estimation theory
187	REF IAEA-140OC_rev_v1A4.pub Add to Reading List Source URL: nucleus.iaea.org Language: English - Date: 2011-01-31 09:48:29 Environmental chemistry Polycyclic aromatic hydrocarbons Bioindicators Particle Organochlorides Persistent organic pollutants Polychlorinated biphenyl Fluoranthene Confidence interval Chemistry Statistics Pollution
188	Building Hybrid Rover Models: Lessons Learned Thomas Willeke1 and Richard Dearden2 Abstract. Particle filters have recently become popular for diagnosis and monitoring of hybrid systems. In this paper we describe our exp Add to Reading List Source URL: www.sunspiral.org Language: English - Date: 2008-05-10 23:44:34 Robot control Estimation theory Computational statistics Markov models Linear filters Particle filter Kalman filter Rover Company Diagnosis Robotics Statistics Spaceflight
189	Real-time Fault Detection and Situational Awareness for Rovers: Report on the Mars Technology Program Task Richard Dearden, Thomas Willeke {RIACS, QSS Group Inc.} / NASA Ames Research Center M.S[removed], Moffett Field, CA Add to Reading List Source URL: www.sunspiral.org Language: English - Date: 2008-05-10 23:44:33 Control theory Electronic engineering Markov models Monte Carlo methods Linear filters Particle filter Extended Kalman filter Kalman filter Normal distribution Statistics Robot control Estimation theory
190	ASSIMILATING GLOBALBEDO DATA INTO THE JULES LAND SURFACE MODEL Tristan Quaife ECMWF 17th September 2014 Add to Reading List Source URL: www.ecmwf.int Language: English - Date: 2014-09-24 08:23:34 Control theory Bayesian statistics Robot control Data assimilation Particle filter Resampling Ensemble Kalman filter Kalman filter Inverse problem Statistics Monte Carlo methods Estimation theory