activity
20052022
most citedThe entropy per coordinate of a random vector is highly constrained under convexity conditions

84 citations · 508 across the 36 of their papers we have counts for

collaborators

42 papers

math.CA2022★ 4 cited

Richter's local limit theorem,its refinement,and related results

Sergey Bobkov, Gennadiy Chistyakov, Friedrich Götze

We give a detailed exposition of the proof of Richter's local limit theorem in a refined form, and establish the stability of the remainder term in this theorem under small perturb…

math.PR2021★ 8 cited

On rate of convergence to the Poisson law of the number of cycles in the generalized random graphs

Sergey G. Bobkov, Maria A. Danshina, Vladimir V. Ulyanov

Convergence of order is obtained for the distance in total variation between the Poisson distribution and the distribution of the number of fixed size cycles in gen…

math.PR2020★ 4 cited

Two-sided inequalities for the density function's maximum of weighted sum of chi-square variables

Sergey G. Bobkov, Alexey A. Naumov, Vladimir V. Ulyanov

Two--sided bounds are constructed for a probability density function of a weighted sum of chi-square variables. Both cases of central and non-central chi-square variables are consi…

math.PR2020

Poincaré Inequalities and Normal Approximation for Weighted Sums

S. G. Bobkov, G. P. Chistyakov, F. Götze

Under Poincaré-type conditions, upper bounds are explored for the Kolmogorov distance between the distributions of weighted sums of dependent summands and the normal law. Based on…

math.PR2020

Concentration functions and entropy bounds for discrete log-concave distributions

Sergey G. Bobkov, Arnaud Marsiglietti, James Melbourne

Two-sided bounds are explored for concentration functions and Rényi entropies in the class of discrete log-concave probability distributions. They are used to derive certain varian…

math.PR2019

A simple Fourier analytic proof of the AKT optimal matching theorem

Sergey Bobkov, Michel Ledoux

We present a short and elementary proof of the Ajtai-Komlós-Tusnády (AKT) optimal matching theorem in dimension 2 via Fourier analysis and a smoothing argument. The upper bound app…