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- Richard Everitt, University of Oxford, Missing data, and what to do about it
- Anthony Lee, Warwick University, Auxiliary variables and many-core computation
- Nicolas Kantas, Imperial College London, Particle methods for computing optimal control inputs
- Nick Whitely, Bristol University, Stability properties of some particle filters
- Simon Maskell, QinetiQ & Imperial College London, Using a Probabilistic Hypothesis Density filter to confirm tracks in a multi-target environment
(Note this is not a Read Paper meeting, so there is no paper nor discussion!)
Filed under: R, Statistics, Travel, University life Tagged: ABC, auxiliary variables, England, Imperial College London, London, MCMC, Monte Carlo Statistical Methods, particle methods, Read paper, simulation, target environment, warwick university
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