Videos

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Variance Reduction: Importance Sampling and Control Variates Thumbnail

Variance Reduction: Importance Sampling and Control Variates

Presenters
  • Youssef Marzouk
  • Luis Tenorio
June 16, 2015
IMA
Conditional Probability and Expectation, Bayes Theorem. Thumbnail

Conditional Probability and Expectation, Bayes Theorem.

Presenters
  • Youssef Marzouk
  • Luis Tenorio
June 16, 2015
IMA
Expectation, Covariance. Convergence of Random Variables. Laws of Large Numbers. Central Limit Theorem. Multivariate Gaussian. Thumbnail

Expectation, Covariance. Convergence of Random Variables. Laws of Large Numbers. Central Limit Theorem. Multivariate Gaussian.

Presenter
  • Youssef Marzouk
June 15, 2015
IMA
Random Variables and Probability Distributions Thumbnail

Random Variables and Probability Distributions

Presenters
  • Youssef Marzouk
  • Luis Tenorio
June 15, 2015
IMA
Monte Carlo Methods: Convergence Properties and Error Analysis. Basic Algorithms. Thumbnail

Monte Carlo Methods: Convergence Properties and Error Analysis. Basic Algorithms.

Presenters
  • Youssef Marzouk
  • Luis Tenorio
June 15, 2015
IMA
Adaptive Approximations and Dimension Reduction for Bayesian Inference in Partial Differential Equations Thumbnail

Adaptive Approximations and Dimension Reduction for Bayesian Inference in Partial Differential Equations

Presenter
  • Youssef Marzouk
January 18, 2013
IMA

Inference and Data Assimilation with Optimal Maps

Presenter
  • Youssef Marzouk
October 9, 2012
ICERM
A map-based approach to Bayesian inference in inverse problems Thumbnail

A map-based approach to Bayesian inference in inverse problems

Presenter
  • Youssef Marzouk
June 8, 2011
IMA
Spatiotemporal Besov Priors for Bayesian Inverse Problems Thumbnail

Spatiotemporal Besov Priors for Bayesian Inverse Problems

Presenter
  • Mirjeta Pasha
October 7, 2025
IMSI
On Over-Parametrized Models and Sobolev Training Thumbnail

On Over-Parametrized Models and Sobolev Training

Presenter
  • Matthew Li
June 12, 2025
IMSI

Computationally efficient uncertainty quantification for sparse Bayesian learning

Presenter
  • Jan Glaubitz
May 8, 2025
ICERM
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