Xingqiu Zhao

13 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-4938-7352

Department of Applied Mathematics, The Hong Kong Polytechnic University , Hong Kong

Publications

• Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates — Journal of the American Statistical Association 2025
• Efficient estimation for functional accelerated failure time models — Biometrika 2025
• Phase-Type Distributions for Sieve Estimation — Journal of the American Statistical Association 2025
• A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models — Journal of the American Statistical Association 2024
• Semiparametric Inference for the Functional Cox Model — Journal of the American Statistical Association 2021
• Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Penalized generalized empirical likelihood with a diverging number of general estimating equations for censored data — The Annals of Statistics 2020
• Covariate-Adjusted Regression for Distorted Longitudinal Data With Informative Observation Times — Journal of the American Statistical Association 2019
• Moderate deviations and nonparametric inference for monotone functions — The Annals of Statistics 2018
• Delta method in large deviations and moderate deviations for estimators — The Annals of Statistics 2011
• New multi-sample nonparametric tests for panel count data — The Annals of Statistics 2009
• Semiparametric Regression Analysis of Longitudinal Data With Informative Observation Times — Journal of the American Statistical Association 2005
• Nonparametric inference for censored data using deep neural networks — Journal of the Royal Statistical Society: Series B (Statistical Methodology)