Wasserstein covariance for multiple random densities

Volume: 106, Issue: 2, Pages: 339 - 351
Published: Apr 3, 2019
Abstract
A common feature of methods for analysing samples of probability density functions is that they respect the geometry inherent to the space of densities. Once a metric is specified for this space, the Fréchet mean is typically used to quantify and visualize the average density of the sample. For one-dimensional densities, the Wasserstein metric is popular due to its theoretical appeal and interpretive value as an optimal transport metric, leading...
Paper Details
Title
Wasserstein covariance for multiple random densities
Published Date
Apr 3, 2019
Journal
Volume
106
Issue
2
Pages
339 - 351
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