activity
20192025
most citedOn moderate deviations in Poisson approximation

3 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2025

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

Qingwei Liu, Nicolas Privault

We derive normal approximation bounds for generalized -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.PR2024

Normal to Poisson phase transition for subgraph counting in the random-connection model

Qingwei Liu, Nicolas Privault

We consider the limiting behavior of the count of subgraphs isomorphic to a graph with fixed endpoints (or roots) in the random-connection model, as the intensity …

math.PR2023★ 1 cited

Graph connectivity with fixed endpoints in the random-connection model

Qingwei Liu, Nicolas Privault

We consider the count of subgraphs with an arbitrary configuration of endpoints in the random-connection model based on a Poisson point process on . We present combinat…

math.PR2023

Normal approximation of subgraph counts in the random-connection model

Qingwei Liu, Nicolas Privault

This paper derives normal approximation results for subgraph counts written as multiparameter stochastic integrals in a random-connection model based on a Poisson point process. By…

math.PR2021

Geometric sums, size biasing and zero biasing

Qingwei Liu, Aihua Xia

The geometric sum plays a significant role in risk theory and reliability theory \cite{Kala97} and a prototypical example of the geometric sum is Rényi's theorem~\cite{Renyi56} say…

math.PR2019★ 3 cited

On moderate deviations in Poisson approximation

Qingwei Liu, Aihua Xia

In this paper, we first use the distribution of the number of records to demonstrate that the right tail probabilities of counts of rare events are generally better approximated by…