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05/11/2022
Generation of non-stationary stochastic fields using Generative Adversarial Networks with limited training data
In the context of generating geological facies conditioned on observed d...
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03/17/2022
Generating unrepresented proportions of geological facies using Generative Adversarial Networks
In this work, we investigate the capacity of Generative Adversarial Netw...
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06/02/2020
Cube root weak convergence of empirical estimators of a density level set
Given n independent random vectors with common density f on ℝ^d, we stud...
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01/27/2020
Exact rate of convergence of the mean Wasserstein distance between the empirical and true Gaussian distribution
We study the Wasserstein distance W_2 for Gaussian samples. We establish...
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11/06/2019
Weak convergence of empirical Wasserstein type distances
We estimate contrasts ∫_0 ^1 ρ(F^-1(u)-G^-1(u))du between two continuous...
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03/19/2018
Auxiliary information : the raking-ratio empirical process
We study the empirical measure associated to a sample of size n and modi...
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10/26/2017
