J. Daunizeau Institute of Empirical Research in Economics, Zurich, Switzerland Brain and Spine Institute, Paris, France Bayesian inference.
Est+Opt CIRM 18/8/2009 A. ILIADIS 1 Estimation + optimization in PK modeling Introduction to modeling Estimation criteria Numerical optimization, examples.
Bayesian Inference Chris Mathys Wellcome Trust Centre for Neuroimaging UCL SPM Course London, October 25, 2013 Thanks to Jean Daunizeau and Jérémie Mattout.
Relational Dynamic Bayesian Networks to improve Multi-Target Tracking. Cristina Manfredotti and Enza Messina DISCo, University of Milano-Bicocca.
LTC, Jack R. Widmeyer Transportation Research Conference, 11/04/2011, Wen Cheng
ParticleFilters.pdf
FastOpt Quantitative Design of Observational Networks M. Scholze, R. Giering, T. Kaminski, E. Koffi P. Rayner, and M. Voßbeck Future GHG observation WS,
Computational and physiological models Part 2 Daniel Renz Computational Psychiatry Seminar: Computational Neuropharmacology 14 March, 2014.
Nonlinear and Non-Gaussian Estimation with A Focus on Particle Filters Prasanth Jeevan Mary Knox May 12, 2006.
J. Daunizeau Wellcome Trust Centre for Neuroimaging, London, UK Institute of Empirical Research in Economics, Zurich, Switzerland Bayesian inference.
Stochastic Monte Carlo methods for non-linear statistical inverse problems Benjamin R. Herman Department of Electrical Engineering City College of New.
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