Videos

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MCMC, SMC and IS in High and Infinite Dimensional Spaces, II Thumbnail

MCMC, SMC and IS in High and Infinite Dimensional Spaces, II

Presenter
  • Andrew Stuart
August 27, 2015
SLMath
MCMC, SMC and IS in High and Infinite Dimensional Spaces Thumbnail

MCMC, SMC and IS in High and Infinite Dimensional Spaces

Presenter
  • Andrew Stuart
August 27, 2015
SLMath
Spatiotemporal Besov Priors for Bayesian Inverse Problems Thumbnail

Spatiotemporal Besov Priors for Bayesian Inverse Problems

Presenter
  • Mirjeta Pasha
October 7, 2025
IMSI

On the Bayesian formulation of fractional inverse problems and data-driven discretization of forward maps

Presenter
  • Nicolas Garcia Trillos
June 18, 2018
ICERM

Subspace-driven observation selection strategies for linear Bayesian inverse problems

Presenter
  • Youssef Marzouk
September 6, 2017
IMA
Real Time High Fidelity Bayesian Inversion, Prediction, and Optimal Sensor Placement for Large Scale LTI Systems Governed by Wave Equations, with Application to a Digital Twin for Tsunami Early Warning Thumbnail

Real Time High Fidelity Bayesian Inversion, Prediction, and Optimal Sensor Placement for Large Scale LTI Systems Governed by Wave Equations, with Application to a Digital Twin for Tsunami Early Warning

Presenter
  • Omar Ghattas
November 13, 2025
IMSI
Parallel local approximation MCMC and certified dimension reduction for large-scale Bayesian inverse problems Thumbnail

Parallel local approximation MCMC and certified dimension reduction for large-scale Bayesian inverse problems

Presenter
  • Youssef Marzouk
May 26, 2017
IPAM
A transport map approach for Bayesian inference of dynamic inverse problems with heavy-tailed priors. Thumbnail

A transport map approach for Bayesian inference of dynamic inverse problems with heavy-tailed priors.

Presenter
  • Mirjeta Pasha
April 3, 2025
IMSI
Adaptive Sampling Methods for Inference involving Computationally Intensive Models Thumbnail

Adaptive Sampling Methods for Inference involving Computationally Intensive Models

Presenter
  • Andrew Duncan
April 3, 2025
IMSI
Scalable algorithms for optimal experimental design for large-scale Bayesian inverse problems governed by complex models Thumbnail

Scalable algorithms for optimal experimental design for large-scale Bayesian inverse problems governed by complex models

Presenter
  • Omar Ghattas
October 18, 2018
IPAM
Robust Optimal sensor placement for Bayesian Inverse Problems Governed by PDEs Thumbnail

Robust Optimal sensor placement for Bayesian Inverse Problems Governed by PDEs

Presenter
  • Alen Alexanderian
April 1, 2025
IMSI
MCMC Methods for Nonlinear Hierarchical-Bayesian Inverse Problems Thumbnail

MCMC Methods for Nonlinear Hierarchical-Bayesian Inverse Problems

Presenter
  • John Bardsley
September 8, 2017
IMA