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Seminar List

for period 21 to 27 April

Tuesday 22 April
09:15-10:15 Andrieu, C (University of Bristol) MCM
  tba Sem 1
10:30-11:05 Chopin, N (Centre de Recherche en Économie et Statistique (CREST)) MCM
  Sequential Quasi-Monte Carlo Sem 1
11:05-11:40 Moulines, E (Télécom ParisTech) MCM
  On the uniform ergodicity of the particle Gibbs sampler Sem 1
11:40-12:15 Thiery, AH (National University of Singapore) MCM
  Speeding-up Pseudo-marginal MCMC using a surrogate model Sem 1
13:45-14:20 Pitt, M (University of Warwick) MCM
  Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator Sem 1
14:20-14:55 Reich, S (Universität Potsdam) MCM
  Particle filters for infinite-dimensional systems: combining localization and optimal transportation Sem 1
14:55-15:30 Stuart, A (University of Warwick) MCM
  The Filtering Distribution For Partially Observed Chaotic Dynamical Systems Sem 1
15:50-16:25 Lee, A (University of Warwick) MCM
  Locally adaptive Monte Carlo methods Sem 1
16:25-17:00 Whiteley, NP (University of Bristol) MCM
  Particle filtering subject to interaction constraints Sem 1
Wednesday 23 April
09:15-10:15 Marin, J-M (Université Montpellier 2) MCM
  ABC methods for Bayesian model choice Sem 1
10:30-11:05 Kohn, R (University of New South Wales) MCM
  Speeding up MCMC by Efficient Data Subsampling Sem 1
11:05-11:40 Vihola, MS (University of Jyväskylä) MCM
  Establishing some order amongst exact approximation MCMCs Sem 1
11:40-12:15 Latuszynski, KG (University of Warwick) MCM
  The Bernoulli Factory, extensions and applications Sem 1
13:45-14:20 Beskos, A (National University of Singapore) MCM
  Sequential Monte Carlo methods for applications in Data Assimilation Sem 1
14:00-15:00 Fontelos, M (ICMAT, Madrid) FRB
  Phase field modelling of drops in electric fields Sem 2
14:20-14:55 Woodard, DB (Cornell University) MCM
  Statistical Methods for Ambulance Fleet Management Sem 1
14:55-15:30 Sherlock, C (Lancaster University) MCM
  Adaptive delayed-acceptance pseudo-marginal random walk Metropolis Sem 1
15:15-16:15 Shahgholian, H (KTH - Royal Institute of Technology, Stockholm) FRB
  Does p matter in the p-obstacle problem? Sem 2
15:50-16:25 Douc, R (Telecom SudParis) MCM
  Identifiability conditions for partially-observed Markov chains Sem 1
16:25-17:00 Teh, YW (University of Oxford) MCM
  Stochastic Gradient Langevin Dynamics for Large Scale Bayesian Inference Sem 1
Thursday 24 April
09:15-10:15 Holmes, C (University of Oxford) MCM
  Robust statistical decisions under model misspecification by re-weighted Monte Carlo samplers Sem 1
10:30-11:05 Olsson, JR (KTH - Royal Institute of Technology) MCM
  Particle islands and archipelagos: some large sample theory Sem 1
11:00-12:30 Hintermueller, M (Humboldt-Universität zu Berlin) FRB
  Numerical Methods for (Quasi)Variational Inequalities - Part I Sem 2
11:05-11:40 Golightly, A (Newcastle University) MCM
  Bayesian inference for sparsely observed diffusions Sem 1
11:40-12:15 Rebeschini, P (Princeton University) MCM
  Particle filters and curse of dimensionality Sem 1
13:45-14:20 Mengersen, K (Queensland University of Technology) MCM
  Pre-Processing for Approximate Bayesian Computation in Image Analysis Sem 1
14:20-14:55 Prangle, D (University of Reading) MCM
  Lazy ABC Sem 1
14:30-16:00 Hintermueller, M (Humboldt-Universität zu Berlin) FRB
  Numerical Methods for (Quasi)Variational Inequalities - Part II Sem 2
14:55-1530 Schmidler, S (Duke University) MCM
  Parallel Markov Chain Monte Carlo Sem 1
15:50-16:25 Vollmer, S (University of Oxford) MCM
  Consistency and CLTs for stochastic gradient Langevin dynamics based on subsampled data Sem 1
16:25-17:00 Papaspiliopoulos, O (Institució Catalana de Recerca i Estudis Avançats (ICREA)) MCM
  Optimal filtering and the dual process Sem 1
Friday 25 April
09:50-10:25 Stumpf, M (Imperial College London) MCM
  Approximate Bayesian Inference for Stochastic Processes Sem 1
10:40-11:15 Schön, TB (Uppsala Universitet) MCM
  Sequential Monte Carlo methods for graphical models Sem 1
11:15-11:50 Murray, L (CSIRO) MCM
  Sequential Monte Carlo with Highly Informative Observations Sem 1
11:50-12:25 Li, K (Uppsala University) MCM
  Generalised Particle Filters with Gaussian Mixtures Sem 1
14:00-14:45 Sharia, T (Royal Holloway, University of London) MCM
  Truncated stochastic approximation with moving bounds Sem 1
14:45-15:15 Tadic, V (University of Bristol) MCM
  Asymptotic Properties of Recursive Maximum Likelihood Estimation in State-Space Models Sem 1
Other Seminars
Seminars in the University
National and International Scientific Research Meetings

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