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20072020
most citedWeak convergence of empirical Wasserstein type distances

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

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5 papers · 1 filter

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.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…

math.ST2012

Remark on the finite-dimensional character of certain results of functional statistics

Jean-Marc Azais, Jean-Claude Fort

This note shows that some assumption on small balls probability, frequently used in the domain of functional statistics, implies that the considered functional space is of finite d…

math.ST2007

Theoretical Aspects of the SOM Algorithm

Marie Cottrell, Jean-Claude Fort, Gilles Pagès

The SOM algorithm is very astonishing. On the one hand, it is very simple to write down and to simulate, its practical properties are clear and easy to observe. But, on the other h…