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Videos linked to uncertainty quantificationMore +
![Numerical methods and uncertainty quantification for kinetic equations - lecture2]()
02:00:35published on August 1, 2022Numerical methods and uncertainty quantification for kinetic equations - lecture2
By Giacomo Dimarco
![Numerical methods and uncertainty quantification for kinetic equations - lecture 1]()
02:01:01published on August 1, 2022Numerical methods and uncertainty quantification for kinetic equations - lecture 1
By Giacomo Dimarco
![Model error covariance estimation using the batch and online Expectation-Maximization algorithms in ensemble Kalman and particle filters]()
34:50published on December 19, 2019Model error covariance estimation using the batch and online Expectation-Maximization algorithms in ensemble Kalman and particle filters
By Manuel Pulido
![Targeting simulation with Bayesian design in a subgrid closure model]()
33:23published on December 19, 2019Targeting simulation with Bayesian design in a subgrid closure model
By Oliver Dunbar
![Data assimilation using particle filters for class of partially observed stochastic geophysical fluid dynamics models. Part I]()
32:25published on December 18, 2019Data assimilation using particle filters for class of partially observed stochastic geophysical fluid dynamics models. Part I
By Dan Crisan
![Bayesian inference and convex geometry: theory, methods, and algorithms]()
49:33published on April 16, 2019Bayesian inference and convex geometry: theory, methods, and algorithms
By Marcelo Pereyra
![Compressed sensing and high-dimensional approximation: progress and challenges]()
01:00:34published on November 28, 2018Compressed sensing and high-dimensional approximation: progress and challenges
By Ben Adcock
![When Moreau meets Langevin: Sampling from high-dimensional log-concave non-smooth densities]()
01:26:26published on April 17, 2016When Moreau meets Langevin: Sampling from high-dimensional log-concave non-smooth densities
By Eric Moulines
