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This article is cited in 2 scientific papers (total in 2 papers)
Distributions of Second Order Polynomials in Gaussian Random Variables
E. D. Kosovab a Lomonosov Moscow State University
b National Research University "Higher School of Economics", Moscow
Abstract:
In this paper, we study bounds for the total variation distance between distributions of second order polynomials in normal random variables provided that they essentially depend on at least three variables. Moreover, we partially extend some recent bounds for the Kolmogorov distance between the distributions of norms of Gaussian random vectors to the case of the total variation distance.
Keywords:
distribution of a polynomial, total variation distance, Gaussian measure.
Received: 01.09.2021
Citation:
E. D. Kosov, “Distributions of Second Order Polynomials in Gaussian Random Variables”, Mat. Zametki, 111:1 (2022), 67–79; Math. Notes, 111:1 (2022), 71–81
Linking options:
https://www.mathnet.ru/eng/mzm13278https://doi.org/10.4213/mzm13278 https://www.mathnet.ru/eng/mzm/v111/i1/p67
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