Exact rate of convergence of the expected \(W_2\) distance between the empirical and true Gaussian distribution
DOI10.1214/19-EJP410zbMath1440.62157arXiv2001.09817OpenAlexW3105132204MaRDI QIDQ2184570
Philippe Berthet, Jean-Claude Fort
Publication date: 29 May 2020
Published in: Electronic Journal of Probability (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2001.09817
empirical processescentral limit theoremstrong approximationquadratic Wasserstein distanceGaussian empirical cumulative distribution function (c.d.f.)
Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05) Order statistics; empirical distribution functions (62G30) Functional limit theorems; invariance principles (60F17)
Related Items (6)
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