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Auxiliary particle filter
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#	Item
1	PARTICLE FILTERS FOR EFFICIENT METER TRACKING WITH DYNAMIC BAYESIAN NETWORKS Ajay Srinivasamurthy∗ Andre Holzapfel† Add to Reading List Source URL: www.rhythmos.org Language: English - Date: 2015-07-18 05:41:54 Statistics Probability Monte Carlo methods Computational statistics Estimation theory Markov models Robot control Particle filter Auxiliary particle filter Hidden Markov model Normal distribution Resampling
2	DISTRIBUTED AUXILIARY PARTICLE FILTERS USING SELECTIVE GOSSIP ¨ Deniz Ustebay, Mark Coates, and Michael Rabbat Department of Electrical and Computer Engineering, McGill University 3480 University St, Montreal QC, Canada Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English - Date: 2011-03-22 10:34:12 Control theory Computational statistics Electronics Filter theory Robot control Particle filter Auxiliary particle filter Filter Artificial neuron Electronic engineering Estimation theory Monte Carlo methods
3	Sequential Monte Carlo for Simultaneous Passive Device-Free Tracking and Sensor Localization Using Received Signal Strength Measurements Xi Chen Andrea Edelstein Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English Control theory Robot control Computational statistics Monte Carlo methods Linear filters Kalman filter Particle filter Expectation–maximization algorithm Auxiliary particle filter Statistics Technology Estimation theory
4	A Note on Particle Filters Applied to DSGE Models Add to Reading List Source URL: www.bcb.gov.br Language: English - Date: 2012-07-04 15:10:37 Robot control Control theory Computational statistics Electronic engineering Linear filters Particle filter Dynamic stochastic general equilibrium Kalman filter Auxiliary particle filter Statistics Estimation theory Monte Carlo methods
5	IEEE TRANSACTIONS ON SIGNAL PROCESSING 1 Particle Smoothing in Continuous Time: A Fast Approach Via Density Estimation Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-27 07:16:30 Robot control Electronic engineering Computational statistics Estimation theory Monte Carlo methods Kalman filter Kernel smoother Kernel density estimation Auxiliary particle filter Statistics Non-parametric statistics Control theory
6	Learning Bayesian Tracking for Motion Estimation? Michael Felsberg and Fredrik Larsson Computer Vision Laboratory, Link¨ oping University, S[removed]Link¨ oping, Sweden Add to Reading List Source URL: liu.diva-portal.org Language: English - Date: 2010-08-19 04:05:22 Control theory Probability and statistics Monte Carlo methods Markov models Computational statistics Particle filter Kalman filter Auxiliary particle filter Markov chain Statistics Estimation theory Robot control
7	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

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