activity
20002025
most citedHeavy tailed solutions of multivariate smoothing transforms

24 citations · 112 across the 33 of their papers we have counts for

collaborators

42 papers

math.PR2025

On local large deviations for decoupled random walks

Dariusz Buraczewski, Alexander Iksanov, Alexander Marynych

A decoupled standard random walk is a sequence of independent random variables such that, for each , the distribution of is the same…

math.PR2024

Convolution powers of unbounded measures on the positive half-line

Dariusz Buraczewski, Alexander Iksanov, Alexander Marynych

For a right-continuous nondecreasing and unbounded function of at most exponential growth, which vanishes on the negative halfline, we investigate the asymptotic behavior of th…

math.PR2023

Critical branching processes in a sparse random environment

Dariusz Buraczewski, Congzao Dong, Alexander Iksanov +1

We introduce a branching process in a sparse random environment as an intermediate model between a Galton--Watson process and a branching process in a random environment. In the cr…

math.PR2023★ 2 cited

Laws of the iterated and single logarithm for sums of independent indicators, with applications to the Ginibre point process and Karlin's occupancy scheme

Dariusz Buraczewski, Alexander Iksanov, Valeriya Kotelnikova

We prove a law of the iterated logarithm (LIL) for an infinite sum of independent indicators parameterized by as . It is shown that if the expectation and the v…

math.PR2023

Weak quenched limit theorems for a random walk in a sparse random environment

Dariusz Buraczewski, Piotr Dyszewski, Alicja Kołodziejska

We study the quenched behaviour of a perturbed version of the simple symmetric random walk on the set of integers. The random walker moves symmetrically with an exception of some r…

math.PR2022

Limit theorems for random Dirichlet series

Dariusz Buraczewski, Congzao Dong, Alexander Iksanov +1

We prove a functional limit theorem in a space of analytic functions for the random Dirichlet series , properly scaled and nor…