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N. Leonenko

29 papers hereh-index 293.6k citations233 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author19
  • last author3

Across the 29 of 29 papers where every author was matched, so the position is known.

fields
  • math.PR21
  • math.ST5
  • math.SP1
  • stat.AP1
  • stat.ME1
same name
  • N. Leonenko — 2 papers, h 1
  • N. Leonenko — 1 paper, h 4
  • N. Leonenko — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082021
most citedLimit theorems for weighted nonlinear transformations of Gaussian stationary processes with singular spectra

42 citations · 70 across the 8 of their papers we have counts for

collaborators
Showing 2019 · math.PRShow all

4 papers · 2 filters

math.PR2019

Spherically Restricted Random Hyperbolic Diffusion

Philip Broadbridge, Alexander D. Kolesnik, Nikolai Leonenko +2

This paper investigates solutions of hyperbolic diffusion equations in R3 with random initial conditions. The solutions are given as spatial-temporal random fields. The…

math.PR2019

Fractional Immigration-Death Processes

Giacomo Ascione, Nikolai Leonenko, Enrica Pirozzi

In this paper we study explicit strong solutions for two difference-differential fractional equations, defined via the generator of an immigration-death process, by using spectral…

math.PR2019

Mixtures of Tempered Stable Subordinators

Neha Gupta, Arun Kumar, Nikolai Leonenko

In this article, we introduce mixtures of tempered stable subordinators (TSS). These mixtures define a class of subordinators which generalize tempered stable subordinators. The ma…

math.PR2019

Intermittency and infinite variance: the case of integrated supOU processes

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

SupOU processes are superpositions of Ornstein-Uhlenbeck type processes with a random intensity parameter. They are stationary processes whose marginal distribution and dependence…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.