activity
20062026
most citedExponential inequalities for self-normalized martingales with applications

105 citations · 309 across the 37 of their papers we have counts for

collaborators

46 papers

math.PR2026

On random Binomial-Fibonacci sequences

Bernard Bercu, Fabrice Gamboa

Motivated by the pioneer work of Viswanath \cite{VIS2000} on random Fibonacci sequences and the development of random Euclidean addition chains in cryptography, we introduce a new…

math.PR2025

On the multidimensional elephant random walk with stops

Bernard Bercu

The goal of this paper is to investigate the asymptotic behavior of the multidimensional elephant random walk with stops (MERWS). In contrast with the standard elephant random walk…

math.PR2024

Sharp Large Deviations for the Number of Descents and the Major Index in a Random Permutation

Bernard Bercu, Michel Bonnefont, Luis Fredes +1

The aim of this paper is to improve the large deviation principle for the number of descents in a random permutation by establishing a sharp large deviation principle of any order.…

math.CO2024

Sharp analysis on the joint distribution of the number of descents and inverse descents in a random permutation

Luis Fredes, Bernard Bercu, Michel Bonnefont +1

Chatteerjee and Diaconis have recently shown the asymptotic normality for the joint distribution of the number of descents and inverse descents in a random permutation. A noteworth…

math.ST2023

Monge-Kantorovich superquantiles and expected shortfalls with applications to multivariate risk measurements

Bernard Bercu, Jeremie Bigot, Gauthier Thurin

We propose center-outward superquantile and expected shortfall functions, with applications to multivariate risk measurements, extending the standard notion of value at risk and co…

math.PR2023

Stochastic optimal transport in Banach Spaces for regularized estimation of multivariate quantiles

Bernard Bercu, Jérémie Bigot, Gauthier Thurin

We introduce a new stochastic algorithm for solving entropic optimal transport (EOT) between two absolutely continuous probability measures and . Our work is motivated by th…