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20182026
most citedMarcinkiewicz-type discretization of -norms under the Nikolskii-type inequality assumption

11 citations · 14 across the 9 of their papers we have counts for

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math.PR2026

Absolute continuity of two-dimensional polynomial random vectors

Egor Kosov

Let be a sequence of independent random variables whose densities and moments of order are uniformly bounded. For a random vector $f(X)=(f_1(X),f_2(X)…

math.PR2026

Nondegeneracy and regularity of polynomial pushforwards

Egor Kosov, Anastasiia Zhukova

Let be a log-concave probability measure on and let be a polynomial mapping of degree at most . We show that \[ μ(f\in A) \l…

math.PR2026

Estimates of the total variation distance between laws of Sobolev mappings on Gaussian spaces

Egor Kosov, Anastasiia Zhukova

Under small-ball bounds for the Malliavin determinants of two -valued Sobolev mappings on a Gaussian space, we estimate the total variation distance between their laws…

math.PR2023

Improved bounds for the total variation distance between stochastic polynomials

Egor Kosov, Anastasia Zhukova

The paper studies upper bounds for the total variation distance between two polynomials of a special form in random vectors satisfying the Doeblin-type condition. Our approach is b…

math.PR2021★ 1 cited

Bounds for the total variation distance between second degree polynomials in normal random variables

Egor Kosov

In this paper we study bounds for the total variation distance between two second degree polynomials in normal random variables provided that they essentially depend on at least th…

math.PR2018★ 2 cited

Total variation distance estimates via -norm for polynomials in log-concave random vectors

Egor Kosov

The paper provides an estimate of the total variation distance between distributions of polynomials defined on a space equipped with a logarithmically concave measure in terms of t…