activity
20072020
most citedWeak convergence of empirical Wasserstein type distances

8 citations · 19 across the 8 of their papers we have counts for

collaborators

9 papers

math.ST2020

Global sensitivity analysis and Wasserstein spaces

Jean-Claude Fort, Thierry Klein, Agnès Lagnoux

Sensitivity indices are commonly used to quantity the relative inuence of any specic group of input variables on the output of a computer code. In this paper, we focus both on comp…

math.PR2020★ 4 cited

Exact rate of convergence of the mean Wasserstein distance between the empirical and true Gaussian distribution

Philippe Berthet, Jean-Claude Fort

We study the Wasserstein distance for Gaussian samples. We establish the exact rate of convergence of the expected value of the distance between t…

math.PR2019★ 8 cited

Weak convergence of empirical Wasserstein type distances

Philippe Berthet, Jean-Claude Fort

We estimate contrasts between two continuous distributions and on such that the set is a finite union of interval…

math.ST2017★ 4 cited

A Central Limit Theorem for Wasserstein type distances between two different laws

Philippe Berthet, Jean-Claude Fort, Thierry Klein

This article is dedicated to the estimation of Wasserstein distances and Wasserstein costs between two distinct continuous distributions and on . The estimator i…

math.ST2015

New Fréchet features for random distributions and associated sensitivity indices

Jean-Claude Fort, Thierry Klein

In this article we define new FrÈchet features for random cumulative distribution functions using contrast. These contrasts allow to construct Wasserstein costs and our new feature…

stat.ME2013★ 3 cited

New sensitivity analysis subordinated to a contrast

Jean-Claude Fort, Thierry Klein, Nabil Rachdi

In a model of the form where the goal is to estimate a parameter of the probability distribution of , we define new sensitivity indices which quantify the…