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