5 citations · 5 across the 1 of their papers we have counts for
3 papers
stat.ML2019
The Wasserstein-Fourier Distance for Stationary Time Series
Elsa Cazelles, Arnaud Robert, Felipe Tobar
We propose the Wasserstein-Fourier (WF) distance to measure the (dis)similarity between time series by quantifying the displacement of their energy across frequencies. The WF dista…
stat.ME2018
Data-driven regularization of Wasserstein barycenters with an application to multivariate density registration
Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis
We present a framework to simultaneously align and smooth data in the form of multiple point clouds sampled from unknown densities with support in a d-dimensional Euclidean space.…
stat.ME2017★ 5 cited
Log-PCA versus Geodesic PCA of histograms in the Wasserstein space
Elsa Cazelles, Vivien Seguy, Jérémie Bigot +2
This paper is concerned by the statistical analysis of data sets whose elements are random histograms. For the purpose of learning principal modes of variation from such data, we c…