Multidimensional Hungarian construction for vectors with almost Gaussian smooth distributions

zbMath1019.60032arXiv1402.1420MaRDI QIDQ4801542

Friedrich Götze, Andrei Yu. Zaitsev

Publication date: 8 April 2003

Full work available at URL: https://arxiv.org/abs/1402.1420

zbMATH Keywords

Hungarian constructionrandom vectorssmooth distributionsKMT construction

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Functional limit theorems; invariance principles (60F17)

Related Items (2)

Multidimensional version of the results of Komlos, Major and Tusnady for vectors with finite exponential moments ⋮ The accuracy of strong Gaussian approximation for sums of independent random vectors

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