activity
20072022
most citedOn the estimation of integrated covariance matrices of high dimensional diffusion processes

49 citations · 78 across the 17 of their papers we have counts for

collaborators

17 papers

math.ST2022

High-dimensional covariance matrices under dynamic volatility models: asymptotics and shrinkage estimation

Yi Ding, Xinghua Zheng

We study the estimation of the high-dimensional covariance matrix andits eigenvalues under dynamic volatility models. Data under such modelshave nonlinear dependency both cross-sec…

math.PR2021

Supercritical Spatial SIR Epidemics: Spreading Speed and Herd Immunity

Xinghua Zheng, Qingsan Zhu

We study supercritical spatial SIR epidemics on , where each site in represents a village and stands for the village size.…

math.PR2019

On the Maximal Displacement of Near-critical Branching Random Walks

Eyal Neuman, Xinghua Zheng

We consider a branching random walk on started by particles at the origin, where each particle disperses according to a mean-zero random walk with bounded support…

math.ST2017★ 1 cited

Testing High-dimensional Covariance Matrices under the Elliptical Distribution and Beyond

Xinxin Yang, Xinghua Zheng, Jiaqi Chen

We develop tests for high-dimensional covariance matrices under a generalized elliptical model. Our tests are based on a central limit theorem (CLT) for linear spectral statistics…

math.ST2016★ 3 cited

On the inference about the spectral distribution of high-dimensional covariance matrix based on high-frequency noisy observations

Ningning Xia, Xinghua Zheng

In practice, observations are often contaminated by noise, making the resulting sample covariance matrix a signal-plus-noise sample covariance matrix. Aiming to make inferences abo…

math.PR2015

On the Maximal Displacement of Subcritical Branching Random Walks

Eyal Neuman, Xinghua Zheng

We study the maximal displacement of a one dimensional subcritical branching random walk initiated by a single particle at the origin. For each let be the…