盖玉洁｜中央财经大学｜学者主页

2026

部分线性回归模型的可更新估计方法

盖玉洁，孟康，谢雨娇，王晓迪

《应用概率统计》

2026

基于局部线性工具变量的半参数模型估计方法研究

王立勇，张晨阳，盖玉洁

《应用概率统计》

2026

Transfer Learning for High‐Dimensional Huber Approximate Quantile Regression via Elastic Net

Zixin Lv, Yicheng Liu, Kang Meng, Yu-Jie Gai

Statistical analysis and data mining

DOI

2026

Integrating random forests into deep neural networks for simultaneous estimation of non-crossing multiple quantiles

Ya-Xuan Li, Yu-Jie Gai, Xiaoyu Ma

Statistics and computing

DOI

2026

Renewable penalized linear regression via inverse probability weighting for streaming data with missing covariates

Kang Meng, Yu-Jie Gai

Computational Statistics & Data Analysis

DOI

2026

A two-stage approach for modeling non-sparse main effects with sparse interaction terms

Shun Yu, Yu-Jie Gai, Yue-Han Yang

AStA Advances in Statistical Analysis

DOI

2026

An effective method for modeling highly correlated interaction models with applications in Alzheimer’s disease analysis

Shun Yu, Yu-Jie Gai, Yue-Han Yang

Statistical Methods in Medical Research

DOI

2026

Advancing multiplicative distortion models in nonlinear regression: relaxing independence and enhancing inference

Jun Zhang, Yu-Jie Gai

DOI

2026

A type of optimum online learning from quantile estimating equation and objective function

Lu Lin, Yu-Jie Gai

Journal of Statistical Computation and Simulation

DOI

2026

Renewable ridge selection operator with streaming datasets

Mei Yao, Kang Meng, Bo-Rui Xu, Yu-Jie Gai

Journal of Statistical Computation and Simulation

DOI

2026

Semi-supervised classification of data streams via micro-cluster modeling

Yaxuan Li, Yingxin Meng, Yujie Gai

Neurocomputing

DOI

2025

流数据统计建模：理论与算法实践 = Statistical modeling for streaming data theory and computational practice

盖玉洁

《经济科学出版社》

2025

Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso

Yu-Jie Gai, Kang Meng, Xin-Yi Xu

Statistical analysis and data mining

DOI

2025

Online Updating Composite Quantile Regression for Streaming Data

Yu-Jie Gai, Yidan Wang, Tong He, Xiaodi Wang

Statistical analysis and data mining

DOI

2025

Model-free feature screening for massive high-dimensional imbalanced classification data via a fused inverse probability weighted absolute filter

Wang Ping, Xiao-Yu Ma, Yu-Jie Gai

Statistics (Berlin)

DOI

2025

Design based Global Sensitivity Analysis for Quantity-Permutation Models

Xiao-Di Wang, Yu-Jie Gai, Heng-Zhen Huang

Technometrics

DOI

2025

Online transfer learning for generalized linear model prediction

Shuang-Ling Xiao, Yu-Jie Gai

Knowledge-Based Systems

DOI

2025

Online learning for non-convex penalized support vector machine with convolution smoothing

Kang Meng, Tong He, Yu-Jie Gai, Lu Lin

Neurocomputing

DOI

2025

Real-time inference for smoothing quantile regression on streaming datasets with heterogeneity detection

Yidan Wang, Lingyun Zhang, Yu-Jie Gai

Statistics and computing

DOI

2024

基于在线更新的线性混合效应模型的参数估计

盖玉洁，谢雨娇，王晓迪

《应用概率统计》

2024

Online learning for streaming data classification in nonstationary environments

Yu-Jie Gai, Kang Meng, Xiaodi Wang

Statistical analysis and data mining

DOI

2024

Transfer learning for high-dimensional linear regression via the elastic net

Kang Meng, Yu-Jie Gai, Xiaodi Wang, Mei Yao, Xiao-Fei Sun

Knowledge-Based Systems

DOI

2023

Non parametric regression models with additive distortions

Yu-Jie Gai, Jun Zhang, Yi-Ping Yang

Communications in Statistics - Theory and Methods

DOI

2023

Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data

Yu-Jie Gai, Jun Zhang, Yue Zhou

Communications in statistics. Simulation and computation

DOI

2023

A communication efficient distributed one-step estimation

Lili Yuan, Xianjun Yin, Yujie Gai

Physica A Statistical Mechanics and its Applications

DOI

2022

Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses

Xiao-Shuang Zhou, Pei-Xin Zhao, Yu-Jie Gai

AStA Advances in Statistical Analysis

DOI

2022

Exponential squared loss based robust variable selection of AR models

Ya-Xi Wu, Yunquan Song, Xijun Liang, Yu-Jie Gai

Brazilian Journal of Probability and Statistics

DOI

2022

A-optimal designs for non-parametric symmetrical global sensitivity analysis

Xue-Ping Chen, Yu-Jie Gai, Xiao-di Wang

Metrika (Heidelberg)

DOI

2021

Detection the symmetry or asymmetry of model errors in partial linear models

Yu-Jie Gai, Jun Zhang

Communications in statistics. Simulation and computation

DOI

2021

Single-index relative error regression models

Yu-Jie Gai, Jun Zhang

Communications in statistics. Simulation and computation

DOI

2021

Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient

Yu-Jie Gai, Yu-Sheng Wei, Jun Zhang, Aixian Chen

Communications in statistics. Simulation and computation

DOI

2021

A general framework of online updating variable selection for generalized linear models with streaming datasets

Xiaoyu Ma, Lu Lin, Yu-Jie Gai

Journal of Statistical Computation and Simulation

DOI

2020

Partial index additive models with additive distortion measurement errors

Jun Zhang, Sanying Feng, Yu-Jie Gai

Communications in statistics. Simulation and computation

DOI

2020

Detection of the symmetry of model errors for partial linear single-index models

Yu-Jie Gai, Jun Zhang

Communications in statistics. Simulation and computation

DOI

2020

Measuring symmetry and asymmetry of multiplicative distortion measurement errors data

Jun Zhang, Yu-Jie Gai, Xia Cui, Gao-Rong Li

DOI

2019

Testing symmetry for additive distortion measurement errors data

Jun Zhang, Yu-Jie Gai, Feng Li

Communications in statistics. Simulation and computation

DOI

2019

Nonlinear regression models with profile nonlinear least squares estimation

Jun Zhang, Yu-Jie Gai

Communications in statistics. Simulation and computation

DOI

2019

Linear regression models with general distortion measurement errors

Jun Zhang, Yu-Jie Gai

Communications in statistics. Simulation and computation

DOI

2019

Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion

Jun Zhang, Yu-Jie Gai

Communications in statistics. Simulation and computation

DOI

2019

Multiplicative distortion measurement errors linear models with general moment identifiability condition

Jun Zhang, Wangli Xu, Yujie Gai

Journal of Statistical Computation and Simulation

DOI

2019

Nonlinear regression models with single‐index heteroscedasticity

Jun Zhang, Yu-Jie Gai, Bingqing Lin, Xue-Hu Zhu

Statistica neerlandica (Print)

DOI

2019

Testing symmetry of model errors for nonparametric regression models by using correlation coefficient1

Yu-Jie Gai, Xue-Hu Zhu, Jun Zhang

Communications in statistics. Simulation and computation

DOI

2019

Detection of marginal heteroscedasticity for partial linear single-index models

Jun Zhang, Yu-Jie Gai, Bingqing Lin

Communications in statistics. Simulation and computation

DOI

2019

Correlation curve estimation for multiplicative distortion measurement errors data

Zhenghui Feng, Yujie Gai, Jun Zhang

Journal of nonparametric statistics

DOI

2017

自适应的Dantzig选择器的渐近性质研究

盖玉洁，李锋，尹钊，林路，朱力行

《中国科学:数学》

2017

Asymptotic properties of adaptive Dantzig selector

Yu-Jie Gai, Feng Li, Zhao Yin, Lu Lin, Lixing Zhu

DOI

2016

Asymtotics of Dantzig selector for a general single-index model

Yan Fan, Yu-Jie Gai, Lixing Zhu

Journal of Systems Science and Complexity

DOI

2015

桥回归的系数估计对应于γ-范数的压缩规律（英文）

盖玉洁，张占利，张君

《应用概率统计》

2015

Statistical inference on partial linear additive models with distortion measurement errors

Yu-Jie Gai, Jun Zhang, Gao-Rong Li, Xinchao Luo

DOI

2014

测量误差模型的自适应LASSO变量选择方法研究

李锋，盖玉洁，卢一强

《中国科学:数学》

2014

Estimation and variable selection in partial linear single index models with error-prone linear covariates

Jun Zhang, Xiaoguang Wang, Yao Yu, Yu-Jie Gai

DOI

2014

Adaptive LASSO for measurement error models

Feng Li, Yu-Jie Gai, Yiqiang Lu

DOI

2014

Inference for biased models: A quasi-instrumental variable approach

Lu Lin, Lixing Zhu, Yu-Jie Gai

Journal of Multivariate Analysis

DOI

2013

Model selection consistency of Dantzig selector

Li-Xing Zhu, Yu-Jie Gai, Lu Lin

DOI

2013

Weighted local linear composite quantile estimation for the case of general error distributions

Jing Sun, Yu-Jie Gai, Lu Lin

DOI

2013

Estimation in linear regression models with measurement errors subject to single-indexed distortion

Jun Zhang, Yu-Jie Gai, Ping Wu

Computational Statistics & Data Analysis

DOI

2011

若干高维模型变量选择和模型重建问题的研究

盖玉洁

《山东大学》

2011

协变量缺失下线性模型中参数的经验似然推断

王秀丽，盖玉洁，林路

《山东大学学报(理学版)》

2011

Consistent inference for biased sub-model of high-dimensional partially linear model

Yu-Jie Gai, Lu Lin, Xiu-Li Wang

DOI

2011

Estimation and inference for high-dimensional non-sparse models

Lu Lin, Lixing Zhu, Yu-Jie Gai

2010

Adaptive post-Dantzig estimation and prediction for non-sparse "large $p$ and small $n$" models

Lu Lin, Lixing Zhu, Yu-Jie Gai

精选作品

期刊论文

部分线性回归模型的可更新估计方法

基于局部线性工具变量的半参数模型估计方法研究

Transfer Learning for High‐Dimensional Huber Approximate Quantile Regression via Elastic Net

Integrating random forests into deep neural networks for simultaneous estimation of non-crossing multiple quantiles

Renewable penalized linear regression via inverse probability weighting for streaming data with missing covariates

A two-stage approach for modeling non-sparse main effects with sparse interaction terms

An effective method for modeling highly correlated interaction models with applications in Alzheimer’s disease analysis

Advancing multiplicative distortion models in nonlinear regression: relaxing independence and enhancing inference

A type of optimum online learning from quantile estimating equation and objective function

Renewable ridge selection operator with streaming datasets

Semi-supervised classification of data streams via micro-cluster modeling

流数据统计建模：理论与算法实践 = Statistical modeling for streaming data theory and computational practice

Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso

Online Updating Composite Quantile Regression for Streaming Data

Model-free feature screening for massive high-dimensional imbalanced classification data via a fused inverse probability weighted absolute filter

Design based Global Sensitivity Analysis for Quantity-Permutation Models

Online transfer learning for generalized linear model prediction

Online learning for non-convex penalized support vector machine with convolution smoothing

Real-time inference for smoothing quantile regression on streaming datasets with heterogeneity detection

基于在线更新的线性混合效应模型的参数估计

Online learning for streaming data classification in nonstationary environments

Transfer learning for high-dimensional linear regression via the elastic net

Non parametric regression models with additive distortions

Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data

A communication efficient distributed one-step estimation

Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses

Exponential squared loss based robust variable selection of AR models

A-optimal designs for non-parametric symmetrical global sensitivity analysis

Detection the symmetry or asymmetry of model errors in partial linear models

Single-index relative error regression models

Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient

A general framework of online updating variable selection for generalized linear models with streaming datasets

Partial index additive models with additive distortion measurement errors

Detection of the symmetry of model errors for partial linear single-index models

Measuring symmetry and asymmetry of multiplicative distortion measurement errors data

Testing symmetry for additive distortion measurement errors data

Nonlinear regression models with profile nonlinear least squares estimation

Linear regression models with general distortion measurement errors

Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion

Multiplicative distortion measurement errors linear models with general moment identifiability condition

Nonlinear regression models with single‐index heteroscedasticity

Testing symmetry of model errors for nonparametric regression models by using correlation coefficient1

Detection of marginal heteroscedasticity for partial linear single-index models

Correlation curve estimation for multiplicative distortion measurement errors data

自适应的Dantzig选择器的渐近性质研究

Asymptotic properties of adaptive Dantzig selector

Asymtotics of Dantzig selector for a general single-index model

桥回归的系数估计对应于γ-范数的压缩规律（英文）

Statistical inference on partial linear additive models with distortion measurement errors

测量误差模型的自适应LASSO变量选择方法研究

Estimation and variable selection in partial linear single index models with error-prone linear covariates

Adaptive LASSO for measurement error models

Inference for biased models: A quasi-instrumental variable approach

Model selection consistency of Dantzig selector

Weighted local linear composite quantile estimation for the case of general error distributions

Estimation in linear regression models with measurement errors subject to single-indexed distortion

若干高维模型变量选择和模型重建问题的研究

协变量缺失下线性模型中参数的经验似然推断

Consistent inference for biased sub-model of high-dimensional partially linear model

Estimation and inference for high-dimensional non-sparse models

Adaptive post-Dantzig estimation and prediction for non-sparse "large $p$ and small $n$" models

研究方向