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Particle statistics
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171	Microsoft Word - MCM_PARTICLES_2010_FINAL.doc Add to Reading List Source URL: eprints.lancs.ac.uk Language: English - Date: 2011-01-27 19:30:33 Estimation theory Filter theory Robot control Signal processing Kalman filter Particle filter Nonlinear filter Guidance system Filter design Electronic engineering Control theory Statistics
172	Particle Filter DND Introduction Reboot State-Space Reps. Add to Reading List Source URL: www.szgerzensee.ch Language: English - Date: 2014-05-16 09:37:41 Robot control Stochastic processes Algebra Filtration Measure theory Filter Particle filter Mathematics Statistics Mathematical analysis
173	On sequential data assimilation for scalar macroscopic traffic flow models S´ebastien Blandina,∗, Adrien Couqueb , Alexandre Bayenc , Daniel Workd a Research Scientist, IBM Research Collaboratory – Singapore. Add to Reading List Source URL: traffic.berkeley.edu Language: English - Date: 2012-07-05 13:51:42 Cybernetics Linear filters Robot control Bayesian statistics Extended Kalman filter Kalman filter Unscented transform Data assimilation Particle filter Statistics Estimation theory Control theory
174	A tool for construction of stochastic spatio-temporal models assimilated with observational data Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2008-04-02 11:16:28 Monte Carlo methods Estimation theory Robot control Linear filters Computational statistics Particle filter Geographic information system Economic model Ensemble Kalman filter Statistics Applied mathematics Science
175	Scalable Inference in Latent Variable Models ∗ Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan Narayanamurthy, Alexander Smola Yahoo! Research, Santa Clara, CA, USA Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-14 17:10:32 Latent variable Gibbs sampling Latent Dirichlet allocation Bayesian network Mixture model Particle filter Latent class model Expectation–maximization algorithm Statistics Statistical models Latent variable model
176	Forecasting "High" and "Low" of financial time series by Particle systems and Kalman filters S. DABLEMONT, S. VAN BELLEGEM, M. VERLEYSEN Université catholique de Louvain, Machine Learning Group, DICE 3, Place du Levant, Add to Reading List Source URL: perso.uclouvain.be Language: English - Date: 2009-02-25 10:57:00 Electronic engineering Robot control Linear filters Markov models Kalman filter Particle filter Maximum likelihood Bayes estimator Unscented transform Statistics Estimation theory Control theory
177	Department of Automatic Control & Systems Engineering would like to announce the following seminar: Sequentially Interacting Markov Chain Monte Carlo for Bayesian Computation Speaker: Prof Arnaud Doucet Add to Reading List Source URL: www.sheffield.ac.uk Language: English - Date: 2011-07-19 20:20:17 Computational statistics Probability and statistics Markov processes Markov chain Estimation theory Particle filter Statistics Markov models Monte Carlo methods
178	return to updates Helium4 a Boson? No. by Miles Mathis Add to Reading List Source URL: milesmathis.com Language: English - Date: 2012-11-10 01:30:11 Particle statistics Bosons Atomic physics Fermion Spin Pauli exclusion principle Identical particles Photon Electron Physics Quantum field theory Spintronics
179	Automatic Control and Systems Engineering The Department of Automatic Control & Systems Engineering is pleased to announce the following seminar: Add to Reading List Source URL: www.sheffield.ac.uk Language: English - Date: 2014-10-16 11:09:11 Computational statistics Applied mathematics Bayesian statistics Estimation theory Signal processing Particle filter Markov chain Monte Carlo Approximate Bayesian computation Statistics Monte Carlo methods Probability and statistics
180	Citation Statistics From 110 Years of Physical Review S. Redner1, ∗ 1 Theory Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2011-11-19 02:38:57 Academic publishing Walter Kohn Bibliometrics Citation Physical Review Letters Physical Review Particle Data Group Nature Case citation Publishing Academia Knowledge

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