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MCMW01 |
22nd April 2014
09:15 to 10:15 |
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tba |
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MCMW01 |
22nd April 2014
10:30 to 11:05 |
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Sequential Quasi-Monte Carlo |
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MCMW01 |
22nd April 2014
11:05 to 11:40 |
E Moulines |
On the uniform ergodicity of the particle Gibbs sampler |
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MCMW01 |
22nd April 2014
11:40 to 12:15 |
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Speeding-up Pseudo-marginal MCMC using a surrogate model |
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MCMW01 |
22nd April 2014
13:45 to 14:20 |
M Pitt |
Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator |
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MCMW01 |
22nd April 2014
14:20 to 14:55 |
S Reich |
Particle filters for infinite-dimensional systems: combining localization and optimal transportation |
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MCMW01 |
22nd April 2014
14:55 to 15:30 |
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The Filtering Distribution For Partially Observed Chaotic Dynamical Systems |
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MCMW01 |
22nd April 2014
15:50 to 16:25 |
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Locally adaptive Monte Carlo methods |
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MCMW01 |
22nd April 2014
16:25 to 17:00 |
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Particle filtering subject to interaction constraints |
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MCMW01 |
23rd April 2014
09:15 to 10:15 |
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ABC methods for Bayesian model choice |
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MCMW01 |
23rd April 2014
10:30 to 11:05 |
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Speeding up MCMC by Efficient Data Subsampling |
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MCMW01 |
23rd April 2014
11:05 to 11:40 |
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Establishing some order amongst exact approximation MCMCs |
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MCMW01 |
23rd April 2014
11:40 to 12:15 |
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The Bernoulli Factory, extensions and applications |
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MCMW01 |
23rd April 2014
13:45 to 14:20 |
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Sequential Monte Carlo methods for applications in Data Assimilation |
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MCMW01 |
23rd April 2014
14:20 to 14:55 |
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Statistical Methods for Ambulance Fleet Management |
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MCMW01 |
23rd April 2014
14:55 to 15:30 |
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Adaptive delayed-acceptance pseudo-marginal random walk Metropolis |
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MCMW01 |
23rd April 2014
15:50 to 16:25 |
R Douc |
Identifiability conditions for partially-observed Markov chains |
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MCMW01 |
23rd April 2014
16:25 to 17:00 |
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Stochastic Gradient Langevin Dynamics for Large Scale Bayesian Inference |
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MCMW01 |
24th April 2014
09:15 to 10:15 |
C Holmes |
Robust statistical decisions under model misspecification by re-weighted Monte Carlo samplers |
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MCMW01 |
24th April 2014
10:30 to 11:05 |
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Particle islands and archipelagos: some large sample theory |
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MCMW01 |
24th April 2014
11:05 to 11:40 |
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Bayesian inference for sparsely observed diffusions |
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MCMW01 |
24th April 2014
11:40 to 12:15 |
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Particle filters and curse of dimensionality |
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MCMW01 |
24th April 2014
13:45 to 14:20 |
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Pre-Processing for Approximate Bayesian Computation in Image Analysis |
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MCMW01 |
24th April 2014
14:20 to 14:55 |
D Prangle |
Lazy ABC |
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MCMW01 |
24th April 2014
14:55 to 15:30 |
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Parallel Markov Chain Monte Carlo |
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MCMW01 |
24th April 2014
15:50 to 16:25 |
S Vollmer |
Consistency and CLTs for stochastic gradient Langevin dynamics based on subsampled data |
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MCMW01 |
24th April 2014
16:25 to 17:00 |
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Optimal filtering and the dual process |
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MCMW01 |
25th April 2014
09:50 to 10:25 |
M Stumpf |
Approximate Bayesian Inference for Stochastic Processes |
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MCMW01 |
25th April 2014
10:40 to 11:15 |
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Sequential Monte Carlo methods for graphical models |
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MCMW01 |
25th April 2014
11:15 to 11:50 |
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Sequential Monte Carlo with Highly Informative Observations |
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MCMW01 |
25th April 2014
11:50 to 12:25 |
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Generalised Particle Filters with Gaussian Mixtures |
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MCMW01 |
25th April 2014
14:00 to 14:45 |
T Sharia |
Truncated stochastic approximation with moving bounds |
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MCMW01 |
25th April 2014
14:45 to 15:15 |
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Asymptotic Properties of Recursive Maximum Likelihood Estimation in State-Space Models |
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MCM |
30th April 2014
11:30 to 12:30 |
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A nested particle filter for online Bayesian parameter estimation in state-space systems |
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MCM |
12th May 2014
14:00 to 15:00 |
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Stochastic filtering - a brief historical account |
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MCM |
13th May 2014
10:00 to 11:00 |
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Bayesian Uncertainty Quantification for Differential Equations |
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MCM |
13th May 2014
14:00 to 15:00 |
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Zero-Variance Hamiltonian MCMC |
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MCM |
15th May 2014
11:00 to 12:00 |
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The MOP - Particles without Resampling |
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MCM |
15th May 2014
13:30 to 14:30 |
J Kominiarczuk |
Acyclic Monte Carlo: where sequential Monte Carlo meets renormalisation |
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