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Nicolas Privault

9 papers hereh-index 216 citations16 works total

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

author position
  • last author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • math.PR6
  • math.CA1
  • math.NA1
  • q-bio.PE1
same name
  • Nicolas Privault — 54 papers, h 28
  • Nicolas Privault — 2 papers
  • Nicolas Privault — 1 paper, h 0

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
20232026
most citedGraph connectivity with fixed endpoints in the random-connection model

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing 2025 · math.PRShow all

4 papers · 2 filters

math.PR2025

Mixing rates for linear operators under infinitely divisible measures on Banach spaces

Camille Mau, Nicolas Privault

We derive rates of convergence for the mixing of operators under infinitely divisible measures in the framework of linear dynamics on Banach spaces. Our approach is based on the ch…

math.PR2025

Gaussian fluctuations of generalized U-statistics and subgraph counting in the binomial random-connection model

Qingwei Liu, Nicolas Privault

We derive normal approximation bounds for generalized U-statistics of the form \begin{equation*} S_{n,k}(f):=\sum_{ 1 \leq β(1),\dots,β(k) \leq n \atop β(i)\neβ(j), \ 1\leq i\ne…

math.PR2025

Stability analysis of a branching diffusion solver for semilinear heat equations

Qiao Huang, Nicolas Privault

Stochastic branching algorithms provide a useful alternative to grid-based schemes for the numerical solution of partial differential equations, particularly in high-dimensional se…

math.PR2025

Probabilistic representation of ODE solutions with quantitative estimates

Qiao Huang, Nicolas Privault

This paper considers the probabilistic representation of the solutions of ordinary differential equations (ODEs) by the generation of marked random trees in which marks can be inte…

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