A unifying approach to distributional limits for empirical optimal transport
Author:
Affiliation:
1. Institute for Mathematical Stochastics, University of Göttingen, Göttingen, Germany
Publisher
Bernoulli Society for Mathematical Statistics and Probability
Reference92 articles.
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3. Dedecker, J. and Louhichi, S. (2002). Maximal inequalities and empirical central limit theorems. In Empirical Process Techniques for Dependent Data 137–159. Boston, MA: Birkhäuser.
4. Dudley, R.M. (2014). Uniform Central Limit Theorems, 2nd ed. Cambridge Studies in Advanced Mathematics 142. New York: Cambridge Univ. Press.
5. Bobkov, S. and Ledoux, M. (2019). One-dimensional empirical measures, order statistics, and Kantorovich transport distances. Mem. Amer. Math. Soc. 261 v+126. 10.1090/memo/1259
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1. Empirical optimal transport under estimated costs: Distributional limits and statistical applications;Stochastic Processes and their Applications;2024-12
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