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La détection de périodicités cachées

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Discrete stochastic heat equation driven by fractional noise

Kamran Kalbasi

We consider the parabolic Anderson model on

\mathbb{Z}^d

driven by fractional noise. We prove that it has a mild solution given by Feynman-Kac representation which coincides with the partition function of a directed polymer in a fractional Brownian envir ...

EPFL2014

La détection de périodicités cachées

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Chat with Graph Search

Generalized Pickands constants and stationary max-stable processes

Modelling across extremal dependence classes

On the sensitivity of buildings to climate

Sparsity-Driven Statistical Inference for Inverse Problems

A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers

Gaussian distribution for the divisor function and Hecke eigenvalues in arithmetic progressions

Discrete stochastic heat equation driven by fractional noise

Statistical Inference for Partially Observed Stochastic Epidemics

Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information

COSMOGRAIL: the COSmological MOnitoring of GRAvItational Lenses XI. Techniques for time delay measurement in presence of microlensing

Generalized Pickands constants and stationary max-stable processes

Sparsity-Driven Statistical Inference for Inverse Problems

Modelling across extremal dependence classes

On the sensitivity of buildings to climate

Gaussian distribution for the divisor function and Hecke eigenvalues in arithmetic progressions

A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers

Statistical Inference for Partially Observed Stochastic Epidemics

Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information

Discrete stochastic heat equation driven by fractional noise

COSMOGRAIL: the COSmological MOnitoring of GRAvItational Lenses XI. Techniques for time delay measurement in presence of microlensing