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MS16 PDE-constrained Bayesian Inverse Problems and Data Assimilation: Dan Crisan (London), Marco A. Iglesias (Nottingham), Kody Law (KAUST)

Speakers:

Jochen Broecker (University of Reading)
Patrick Conrad (University of Warwick)
Dan Crisan (Imperial College, London)
John Harlim (Pennsylvania State University)
Haakon Hoel (University of Oslo)
Marco Iglesias (University of Nottingham)
Nik Kantas (Imperial College, London)
David Kelly (Courant Institute, New York University)
Kody Law (King Abdullah University of Science and Technology)
Frederic Legoll (ENPC, Paris)
Claudia Schillings (University of Warwick)
Alessio Spantini (MIT, Boston)

MS16-1 : PDE-constrained Bayesian Inverse Problems and Data Assimilation

Tuesday 14:00-16:00 (Amphi 8 - Thémis building)

Chairperson: Dan Crisan

John Harlim : Diffusion Forecast: A nonparametric modeling
Jochen Broecker : On the probabilistic interpretation of variational data assimilation
David Kelly : Stability of the Ensemble Kalman Filter
Hakon Hoel : Multilevel ensemble Kalman filtering

MS16-2 : PDE-constrained Bayesian Inverse Problems and Data Assimilation

Tuesday 16:30-18:30 (Amphi 8 - Thémis building)

Chairperson: Marco A. Iglesias

Nikolas Kantas : Sequential Monte Carlo Methods for High-Dimensional Inverse Problems
Patrick Conrad : Probability Measures on Numerical Solutions of ODEs and PDEs for Uncertainty Quantification and Inference
Dan Crisan : Inverse problems for stochastic transport equations

MS16-3 : PDE-constrained Bayesian Inverse Problems and Data Assimilation

Wednesday 10:30-12:30 (Amphi 8 - Thémis building)

Chairperson: Kody Law

Alessio Spantini : High Dimensional Non-Gaussian Bayesian Inference with Transport Maps
Marco Iglesias : A Bayesian level-set approach for geometric inverse problems
Frederic Legoll : A parameter identification problem for random heterogeneous materials
Claudia Schillings : Analysis of the Ensemble Kalman Filter for Inverse Problems

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