Central limit theorems for semi-discrete Wasserstein distances
Author:
Affiliation:
1. IMUVA, Universidad de Valladolid, Spain
2. IMT, Université de Toulouse, France
Publisher
Bernoulli Society for Mathematical Statistics and Probability
Subject
Statistics and Probability
Reference53 articles.
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3. Weed, J. and Bach, F. (2019). Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance. Bernoulli 25 2620–2648. 10.3150/18-BEJ1065
4. Sommerfeld, M. and Munk, A. (2018). Inference for empirical Wasserstein distances on finite spaces. J. R. Stat. Soc. Ser. B. Stat. Methodol. 80 219–238. 10.1111/rssb.12236
5. del Barrio, E., González-Sanz, A. and Hallin, M. (2020). A note on the regularity of optimal-transport-based center-outward distribution and quantile functions. J. Multivariate Anal. 180 104671. 10.1016/j.jmva.2020.104671
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