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La détection de périodicités cachées

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On the asymptotic behavior of solutions to the Vlasov-Poisson system

Klaus Martin Widmayer

We prove small data modified scattering for the Vlasov-Poisson system in dimension

d=3

using a method inspired from dispersive analysis. In particular, we identify a simple asymptotic dynamic related to the scattering mass. ...

2021

La détection de périodicités cachées

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Functional registration and local variations: Identifiability, rank, and tuning

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

On the asymptotic behavior of solutions to the Vlasov-Poisson system

Inference on the Angular Distribution of Extremes

Hybrid regularisation and the (in)admissibility of ridge regression in infinite dimensional Hilbert spaces

Central limit theorems for multilevel Monte Carlo methods

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

The regularized tau estimator: A robust and efficient solution to ill-posed linear inverse problems

Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures

Functional registration and local variations: Identifiability, rank, and tuning

On the asymptotic behavior of solutions to the Vlasov-Poisson system

Central limit theorems for multilevel Monte Carlo methods

Inference on the Angular Distribution of Extremes

Hybrid regularisation and the (in)admissibility of ridge regression in infinite dimensional Hilbert spaces

Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

The regularized tau estimator: A robust and efficient solution to ill-posed linear inverse problems

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models