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Particle statistics
Results: 354

#	Item
301	Fourth Workshop on BAYESIAN INFERENCE IN STOCHASTIC PROCESSES Villa Monastero, Varenna (LC), Italy Add to Reading List Source URL: www.mi.imati.cnr.it Language: English - Date: 2005-06-02 18:40:43 Stochastic processes Statistical inference Computational statistics Hidden Markov model Mixture model Bayesian inference Dirichlet process Particle filter Gibbs sampling Statistics Markov models Bayesian statistics
302	A Tutorial on Particle Filtering and Smoothing: Fifteen years later Arnaud Doucet The Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo[removed], Japan. Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2008-12-21 20:26:11 Markov models Applied mathematics Estimation theory Monte Carlo methods Linear filters Particle filter Hidden Markov model Kalman filter Importance sampling Statistics Probability and statistics Robot control
303	Better Motion Prediction for People-tracking Allison Bruce Geoffrey Gordon Robotics Institute Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-05-17 21:03:11 Stochastic processes Statistical mechanics Brownian motion Colloidal chemistry Fractals Motion Particle filter Kalman filter Statistics Probability and statistics Robot control
304	Conditional distributions, exchangeable particle systems, and stochastic partial differential equations Dan Crisan∗, Thomas G. Kurtz,† Yoonjung Lee‡ 10 September[removed]Abstract Add to Reading List Source URL: www.math.wisc.edu Language: English - Date: 2012-09-12 05:55:03 Filtering problem Wiener process Stochastic differential equation Model theory Probability space Martingale Valuation Normal distribution Statistics Stochastic processes Independence
305	To appear in Robotics & Automation Magazine, special issue on Human Centered Robotics and Dependability June[removed]Initial submission Aug[removed]Particle Filters for Rover Fault Diagnosis Vandi Verma, Geoff Gordon, Reid Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-07-02 18:54:32 Robot control Electronic engineering Linear filters Signal processing Monte Carlo methods Particle filter Recursive Bayesian estimation Kalman filter Ensemble Kalman filter Estimation theory Statistics Control theory
306	Decentralized Sensor Fusion with Distributed Particle Filters Matt Rosencrantz, Geoffrey Gordon, and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-06-04 16:46:10 Applied mathematics Linear filters Robot control Monte Carlo methods Bayesian statistics Particle filter Recursive Bayesian estimation Robotics Kalman filter Statistics Control theory Estimation theory
307	Microsoft PowerPoint - nipstalk.ppt [Compatibility Mode] Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2009-12-08 12:40:43 Computational statistics Statistical inference Particle filter Robot control Condensation algorithm Frank Dellaert Mathematical sciences Applied mathematics Monte Carlo methods Statistics Estimation theory
308	Monitoring a Complex Physical System using a Hybrid Dynamic Bayes Net Uri Lerner Brooks Moses Maricia Scott Sheila McIlraith Add to Reading List Source URL: dpdx.net Language: English - Date: 2005-08-24 01:37:06 Estimation theory Electronic engineering Linear filters Monte Carlo methods Particle filter Kalman filter Normal distribution Graphical models for protein structure Radar tracker Statistics Robot control Control theory
309	OH et al.: MARKOV CHAIN MONTE CARLO DATA ASSOCIATION FOR MULTIPLE-TARGET TRACKING 1 Markov Chain Monte Carlo Data Association for Multiple-Target Tracking Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-07-14 20:46:46 Computational statistics Robot control Markov processes Markov chain Particle filter Kalman filter Stochastic process Metropolis–Hastings algorithm Estimation theory Statistics Markov models Monte Carlo methods
310	Decayed MCMC Filtering Bhaskara Marthi, Hanna Pasula, Stuart Russell, Yuval Peres University of California, Berkeley Berkeley, CA[removed]bhaskara, pasula, russell @cs.berkeley.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2002-11-25 00:38:31 Monte Carlo methods Computational statistics Statistical models Markov chain Monte Carlo Markov processes Markov chain Particle filter Gibbs sampling Stochastic process Statistics Probability and statistics Markov models