Seasonal Influence on Age-Structured Invasive Species with Yearly Generation. - Yingli Pan; Jian Fang; Junjie Wei (SIAM J. Appl. Math., 2018)

Statistical inference for generalized case-cohort design under the proportional hazards model with parameter constraints. - Yingli Pan; Jieli Ding; Yanyan Liu (Commun. Stat. Simul. Comput., 2019)

Large-Scale Expectile Regression With Covariates Missing at Random. - Yingli Pan; Zhan Liu; Wen Cai (IEEE Access, 2020)

Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model. - Yingli Pan; Songlin Liu; Yanli Zhou; Guangyu Song (Complex., 2020)

Generalized case-cohort analysis for constrained estimation in the Cox's model. - Yingli Pan (Commun. Stat. Simul. Comput., 2020)

Efficient Distributed Learning for Large-Scale Expectile Regression With Sparsity. - Yingli Pan; Zhan Liu (IEEE Access, 2021)

Outlier detection under a covariate-adjusted exponential regression model with censored data. - Yingli Pan; Zhan Liu; Guangyu Song (Comput. Stat., 2021)

Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data. - Yingli Pan (Comput. Stat. Data Anal., 2022)

Generalized case-cohort and inference for Cox's model with parameter constraints. - Yingli Pan; Lifeng Deng (Commun. Stat. Simul. Comput., 2022)

NonMonotonicity of Traveling Wave Profiles for a Unimodal Recursive System. - Jian Fang; Yingli Pan (SIAM J. Math. Anal., 2022)

Weighted expectile regression with covariates missing at random. - Yingli Pan; Zhan Liu; Guangyu Song (Commun. Stat. Simul. Comput., 2023)

Doubly robust estimation for non-probability samples with modified intertwined probabilistic factors decoupling. - Zhan Liu; Junbo Zheng; Yingli Pan (Stat. Anal. Data Min., 2023)

Statistical inference for case-cohort design under the additive hazards model with covariate adjustment. - Yingli Pan; Guangyu Song; Zhan Liu (Commun. Stat. Simul. Comput., 2023)

Calibration estimation for non-probability samples under two distance functions: a comparative study. - Zhan Liu; Lin Wang; Yingli Pan (Commun. Stat. Simul. Comput., 2024)

High dimensional controlled variable selection with model-X knockoffs in the AFT model. - Baihua He; Di Xia; Yingli Pan (Comput. Stat., 2024)

Efficient distributed optimization for large-scale high-dimensional sparse penalized Huber regression. - Yingli Pan; Kaidong Xu; Sha Wei; Xiaojuan Wang; Zhan Liu (Commun. Stat. Simul. Comput., 2024)

On a Population Model in Discrete Periodic Habitat. II. Bistable Pulsating Waves and Propagation Direction. - Thazin Aye; Jian Fang; Yingli Pan (J. Nonlinear Sci., 2024)

Distributed estimation for large-scale expectile regression. - Yingli Pan; Haoyu Wang; Xiaoluo Zhao; Kaidong Xu; Zhan Liu (Commun. Stat. Simul. Comput., 2025)

Distributed estimation for linear regression with covariates missing at random. - Yingli Pan; Haoyu Wang; Kaidong Xu; He Huang (Commun. Stat. Simul. Comput., 2025)