activity
20092023
most citedDelta method in large deviations and moderate deviations for estimators

69 citations · 105 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2023★ 1 cited

Kernel meets sieve: transformed hazards models with sparse longitudinal covariates

Dayu Sun, Zhuowei Sun, Xingqiu Zhao +1

We study the transformed hazards model with time-dependent covariates observed intermittently for the censored outcome. Existing work assumes the availability of the whole trajecto…

math.ST2022★ 3 cited

Deep Generative Survival Analysis: Nonparametric Estimation of Conditional Survival Function

Xingyu Zhou, Wen Su, Changyu Liu +3

We propose a deep generative approach to nonparametric estimation of conditional survival and hazard functions with right-censored data. The key idea of the proposed method is to f…

math.ST2021

Statistical Estimation and Nonlinear Filtering in Environmental Pollution

Qizhu Liang, Jie Xiong, Xingqiu Zhao

This paper studies a nonlinear filtering problem over an infinite time interval. The signal to be estimated is driven by a stochastic partial differential equation involves unknown…

math.ST2011★ 69 cited

Delta method in large deviations and moderate deviations for estimators

Fuqing Gao, Xingqiu Zhao

The delta method is a popular and elementary tool for deriving limiting distributions of transformed statistics, while applications of asymptotic distributions do not allow one to…

math.ST2009★ 32 cited

New multi-sample nonparametric tests for panel count data

N. Balakrishnan, Xingqiu Zhao

This paper considers the problem of multi-sample nonparametric comparison of counting processes with panel count data, which arise naturally when recurrent events are considered. S…