Answers are grounded in this paper and cite their sources.
This paper concerns the rate of convergence in the multidimensional normal approximation of functional of Gaussian fields. The aim of the present work is to derive explicit upper bounds of the Kolmogorov distance for the rate of convergence instead of Wasserstein distance studied by Nourdin et al. [Ann. Inst. H. Poincar<TEX>e</TEX>(B) Probab.Statist. 46(1) (2010) 45-98].
No takes yet. Share an insight, caveat, or question.
Kim et al. (2015) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: