activity
20082026
most citedA class of Rényi information estimators for multidimensional densities

242 citations · 558 across the 42 of their papers we have counts for

collaborators

53 papers

math.PR2026

Limit theorems for anisotropic functionals of stationary Gaussian fields with Gneiting covariance function

Nikolai Leonenko, Leonardo Maini, Ivan Nourdin +1

We study non-linear additive functionals of stationary Gaussian fields over anisotropically growing domains in , including spatiotemporal settings, and establish Gaus…

math.PR2024★ 5 cited

Dickman type stochastic processes with short- and long- range dependence

Danijel Grahovac, Anastasiia Kovtun, Nikolai N. Leonenko +1

We study properties of the (generalized) Dickman distribution with two parameters and the stationary solution of the Ornstein-Uhlenbeck stochastic differential equation driven by a…

math.ST2023★ 3 cited

Humbert Generalized Fractional Differenced ARMA Processes

Niharika Bhootna, Monika Singh Dhull, Arun Kumar +1

In this article, we use the generating functions of the Humbert polynomials to define two types of Humbert generalized fractional differenced ARMA processes. We present stationarit…

math.ST2021

Statistical tests based on Rényi entropy estimation

Mehmet Siddik Cadirci, Dafydd Evans, Nikolai Leonenko +1

Entropy and its various generalizations are important in many fields, including mathematical statistics, communication theory, physics and computer science, for characterizing the…

math.PR2021

Sojourn functionals for spatiotemporal random fields with long-memory

N. N. Leonenko, M. D. Ruiz-Medina

This paper addresses the asymptotic analysis of sojourn functionals of spatiotemporal Gaussian random fields with long-range dependence (LRD) in time also known as long memory. Spe…

math.PR2021★ 5 cited

Intermittency and multiscaling in limit theorems

Danijel Grahovac, Nikolai N. Leonenko, Murad S. Taqqu

It has been recently discovered that some random processes may satisfy limit theorems even though they exhibit intermittency, namely an unusual growth of moments. In this paper we…