← All authors Xingcai Zhou Nanjing Audit University (from arXiv:2103.00711, 2021) · ORCID · OpenAlex
47 papers in scope · 47 published · 1 on the econ.EM arXiv · 285 citations · h-index 8 (over the papers listed here)
Papers (1 of 47)
Conformal Inference for Missing Data Under Multiple Robust Learning
published 2026 · Statistica Sinica
with Wenlu Tang, Hongni Wang, Bei Jiang, Linglong Kong
Personalized treatment design in the context of functional confounding
published 2026 · Biometrics
Functional Linear Operator Quantile Regression for Sparse Longitudinal Data
published 2025 · Statistica Sinica
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity
published 2024 · Technometrics · 2 citations
Shape Mediation Analysis in Alzheimer's Disease Studies
published 2024 · Statistics in Medicine · 1 citations
Efficient Distributed Transfer Learning for Large‐Scale Gaussian Graphic Models
published 2024 · Stat
with Haotian Zheng, Haoran Zhang, Chao Huang
Efficient Byzantine-robust distributed inference with regularization: A trade-off between compression and adversary
published 2024 · Information Sciences
with Guang Yang, Le Chang, Shaogao Lv
Empirical likelihood M‐estimation for the varying‐coefficient model with functional response
published 2024 · Scandinavian Journal of Statistics · 1 citations
More communication-efficient distributed sparse learning
published 2024 · Information Sciences
with Guang Yang
Distributed Bootstrap Simultaneous Inference for High-Dimensional Quantile Regression
published 2024 · Mathematics · 2 citations
with Zhaoyang Jing, Chao Huang
Communication-efficient and privacy-preserving large-scale federated learning counteracting heterogeneity
published 2024 · Information Sciences · 14 citations
with Guang Yang
Confounder adjustment in single index function-on-scalar regression model
published 2024 · Electronic Journal of Statistics · 1 citations
with Shengxian Ding, Jin-Guan Lin, Rongjie Liu, Chao Huang
Communication-Efficient Nonconvex Federated Learning With Error Feedback for Uplink and Downlink
published 2023 · IEEE Transactions on Neural Networks and Learning Systems · 7 citations
with Le Chang, Jinde Cao
ADMM-Based Differential Privacy Learning for Penalized Quantile Regression on Distributed Functional Data
published 2022 · Mathematics · 7 citations
with Yu Xiang
Quantile-Wavelet Nonparametric Estimates for Time-Varying Coefficient Models
published 2022 · Mathematics
with Guang Yang, Xiang Yu
Communication-Efficient Distributed Learning for High-Dimensional Support Vector Machines
published 2022 · Mathematics · 1 citations
with Hao Shen
Functional Response Quantile Regression Model
published 2022 · Statistica Sinica · 2 citations
Discussion of: ‘A review of distributed statistical inference’
published 2021 · Statistical Theory and Related Fields · 1 citations
with Shaogao Lv
Reproducing kernel‐based functional linear expectile regression
published 2021 · Canadian Journal of Statistics
published 2021 · Ecological Informatics · 2 citations
Wavelet-L 1 -estimation for non parametric location-scale models under a general dependence framework
published 2021 · Communication in Statistics-Theory and Methods
with Hao Shen, Beibei Ni, Yingzhi Xu
Uniform convergence rates for wavelet curve estimation in sup-norm loss
published 2021 · Journal of Computational and Applied Mathematics · 3 citations
Panel quantile regression neural network for electricity consumption forecasting in China: a new framework
published 2021 · Energy Sources Part B Economics Planning and Policy · 7 citations
with Jiangyan Wang
The Asymptotic Properties of Scad Penalized Generalized Linear Models with Adaptive Designs
published 2020 · Journal of Systems Science and Complexity · 1 citations
with Qibing Gao, Chunhua Zhu, Xiuli Du, Dingxin Yin
Wavelet-M-Estimation for Time-Varying Coefficient Time Series Models
published 2020 · Discrete Dynamics in Nature and Society · 2 citations · first circulated 2019
with Zhu Fang-xia, Beibei Ni, Chunhua Zhu
Berry-Esseen bounds for wavelet estimator in time-varying coefficient models with censored dependent data
published 2019 · Mathematica Slovaca
with Beibei Ni, Hongxia Wang, Xing-Fang Huang
Wavelet-based LASSO in functional linear quantile regression
published 2019 · Journal of Statistical Computation and Simulation · 24 citations
A General Framework for Quantile Estimation with Incomplete Data
published 2019 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 43 citations
Wavelet estimation in time-varying coefficient time series models with measurement errors
published 2017 · Communication in Statistics-Theory and Methods · 1 citations
with Yingzhi Xu, Jin-Guan Lin
Wavelet estimation in varying coefficient models for censored dependent data
published 2016 · Statistics & Probability Letters · 8 citations
with Yingzhi Xu, Jin-Guan Lin
Wavelet Estimator in Nonparametric Regression Model with Dependent Error’s Structure
published 2014 · Communication in Statistics-Theory and Methods · 7 citations
with Jin-Guan Lin
Asymptotic properties of wavelet estimators in semiparametric regression models under dependent errors
published 2013 · Journal of Multivariate Analysis · 28 citations
with Jin-Guan Lin
Empirical likelihood for varying-coefficient semiparametric mixed-effects errors-in-variables models with longitudinal data
published 2013 · Statistical Methods & Applications · 3 citations
with Jin-Guan Lin
Empirical likelihood inference in mixture of semiparametric varying-coefficient models for longitudinal data with non-ignorable dropout
published 2012 · Statistics · 3 citations
with Jin-Guan Lin
Empirical likelihood inference in mixtures of semiparametric varying coefficient EV models for longitudinal data with nonignorable dropout
published 2012 · Journal of the Korean Statistical Society · 1 citations
with Jin-Guan Lin
A wavelet estimator in a nonparametric regression model with repeated measurements under martingale difference error’s structure
published 2012 · Statistics & Probability Letters · 2 citations
with Jin-Guan Lin
On complete convergence for strong mixing sequences
published 2012 · Stochastics · 6 citations
with Jin-Guan Lin
Strong consistency of estimators in partially linear models for longitudinal data with mixing-dependent structure
published 2011 · Journal of Inequalities and Applications · 3 citations
with Jin-Guan Lin
Semiparametric regression estimation for longitudinal data in models with martingale difference error's structure
published 2011 · Statistics · 4 citations
with Jin-Guan Lin
STRONG CONSISTENCY OF ESTIMATORS IN PARTIAL LINEAR MODEL UNDER NA SAMPLES
published 2010 · Xitong kexue yu shuxue
no link
Assessing Toxicities in a Clinical Trial: Bayesian Inference for Ordinal Data Nested within Categories
published 2009 · Biometrics · 24 citations
with Luis León-Novelo, B. Nebiyou Bekele, P. Müller
Complete q-order moment convergence of moving average processes under φ-mixing assumptions
published 2009 · Statistics & Probability Letters · 46 citations
with Jin-Guan Lin
Maximum Likelihood Estimation of Tobit Factor Analysis for Multivariate t -Distribution
published 2009 · Communications in Statistics - Simulation and Computation · 9 citations
with Changchun Tan
Moment consistency of estimators in partially linear models under NA samples
published 2009 · Metrika · 6 citations
with Xinsheng Liu, Shuhe Hu
The Monte Carlo EM method for estimating multivariate tobit latent variable models
published 2009 · Journal of Statistical Computation and Simulation · 3 citations
with X. S. Liu
The EM algorithm for the extended finite mixture of the factor analyzers model
published 2008 · Computational Statistics & Data Analysis · 7 citations
with Xinsheng Liu
The Monte Carlo EM method for estimating multinomial probit latent variable models
published 2007 · Computational Statistics · 3 citations
with Xinsheng Liu
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