Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

High Dimensional Probability VIIA Weighted Approximation Approach to the Study of the Empirical Wasserstein Distance

High Dimensional Probability VII: A Weighted Approximation Approach to the Study of the Empirical... [We shall demonstrate that weighted approximation technology provides an effective set of tools to study the rate of convergence of the Wasserstein distance between the cumulative distribution function [c.d.f] and the empirical c.d.f.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

High Dimensional Probability VIIA Weighted Approximation Approach to the Study of the Empirical Wasserstein Distance

Part of the Progress in Probability Book Series (volume 71)
Editors: Houdré, Christian; Mason, David M.; Reynaud-Bouret, Patricia; Rosiński, Jan

Loading next page...
 
/lp/springer-journals/high-dimensional-probability-vii-a-weighted-approximation-approach-to-QT04yYrXhs

References (13)

Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2016
ISBN
978-3-319-40517-9
Pages
137 –154
DOI
10.1007/978-3-319-40519-3_6
Publisher site
See Chapter on Publisher Site

Abstract

[We shall demonstrate that weighted approximation technology provides an effective set of tools to study the rate of convergence of the Wasserstein distance between the cumulative distribution function [c.d.f] and the empirical c.d.f.]

Published: Sep 22, 2016

Keywords: Empirical process; Wasserstein distance; Weighted approximation

There are no references for this article.