接收/发表论文(其中带有*标志的为通讯作者), 2014年1月--至今.
Zhang, X, Yang, G.* and Zhang, X. (2025) Model averaging by jackknife criterion of varying-coefficient models for estimating heterogeneous causal effects. Journal of the Korean Statistical Society, (doi:10.1007/s42952-025-00333-3)
Wei, Y., Yang, G., Chen, Z. and Zhang, X. (2025) Model averaging for treatment effect estimation with heterogeneity and heteroscedasticity. Econometric Theory, (doi:10.1017/S0266466625100029)
Kong, J., Liu, Y., Yang, G.* and Zhou, W. (2025) Conformal Prediction for Robust Deep Nonparametric Regression. Statistical Papers, (doi:10.1007/s00362-024-01631-4)
Dai, L., Liu, P. Liu, Y. and Yang, G.* (2025) The quantile-based empirical likelihood for the difference of quantiles. Statistical and Probablity Letters, 216, 1-7.
Liu, Y., Pan,G., Yang, G.* and Zhou, W. (2024) Nonparametric conditional mean testing via an extreme-type statistic in high dimension. Scandinavian Journal of Statistics, 51, 801-831.
Zhao, S., Xie, T., Ai, X., Yang, G.*, and Zhang, X. (2023) Correcting Sample Selection Bias with Model Averaging for Consumer Demand Forecasting. Economic Modelling, 106275, 1--8.
Yang, G., Xu, L., Xiang, S. and Yao, W. (2022) Robust Estimation and Outlier Detection for Varying Coefficient Models via Penalized Regression. Communications in Statistics - Simulation and Computation, 51(10), 5845--5856.
Yang, G., Lin, H. and Lian, H. (2021) Optimal Prediction for High-dimensional Functional Quantile Regression in Reproducing Kernel Hilbert Spaces. Journal of Complexity, 66, 1--13.
Yang, G., Lin, H. and Lian, H. (2021) Minimax rate in prediction for functional principal component regression. Communications in Statistics - Theory and Methods, 50(5), 1240--1249.
Yang, G., Wang, Q., Cui, X. and Ma, Y. (2020) Generalized Partially Linear Single Index Model with Measurement Error, Instruments and Binary Response. Brazilian Journal of Probability and Statistics, 34(4), 770-794.
Cui, X., Li, R., Yang, G.* and Zhou, W. (2020) Empirical likelihood test for large dimensional mean vector. Biometrika, 107(3), 591-607.
Wang, Q., Ma, Y. and Yang, G.* (2020) Locally efficient estimation in generalized partially linear model with measurement error in nonlinear function. Test, 29(2), 553--572.
Yu, C., Yao, W. and Yang, G.* (2020) A Selective Overview and Comparison of Robust Mixture Regression Estimators. International Statistical Review, 88(1), 176--202.
Yang, G., Yang, S. and Li, R. (2020) Feature Selection in Ultrahigh Dimensional Generalized Varying-coefficient Models. Statistica Sinica, 30(2), 1049--1067.
Xiang, S., Yao, W. and Yang, G. (2019) An Overview of Semiparametric Extensions of Finite Mixture Models. Statistical Science, 34(3), 391--404.
Yang, G., Yang, S. and Zhou, W. (2019) Adjacency Matrix Comparison for Stochastic Block Models. Random Matrices: Theory and Applications, 8, 1--8.
Wichitchan, S., Yao, W. and Yang, G.* (2019) A Simple Root Selection Method For Finite Normal Mixture Models. Communications in Statistics - Theory and Methods, 48, 3778--3794.
Yang, G., Lin, H. and Lian, H. (2019) Double-index Dimension Reduction for Partially Functional Data. Journal of Nonparametric Statistics, 31, 761--768.
Li, D., Ling, S., Tong, H. and Yang, G. (2019) On Brownian Motion Approximation of Compound Poisson Processes with Applications to Threshold Models. Advances in Decision Sciences, 23, 1--27.
Yang, G., Liu, Y. and Pan, G. (2019). Weighted Covariance Matrix Estimation. Computational Statistics and Data Analysis, 139, 82--98.
Yang, G. and Cui, X. (2019) Trimmed Estimators for Large Dimensional Sparse Covariance Matrices. Random Matrices: Theory and Applications, 8, 1--14.
Wichitchan, S., Yao, W. and Yang, G.* (2019) Hypothesis Testing for Finite Normal Mixture Models. Computational Statistics and Data Analysis, 132, 180--189.
Yang, G.*, Zhang, L., Li, R. and Huang, Y. (2019) Feature Selection in Ultrahigh Dimensional Varying Coefficient Cox's Model. Journal of Multivariate Analysis, 171, 284--297.
Zhao, S., Zhou, J. and Yang, G.* (2019) Averaging Estimators for Discrete Choice by $M$-fold Cross-Validation. Economics Letters, 174, 65--69.
Yang, G., Xiang, S. and Yao, W. (2019) Sure Independent Screening in Ultrahigh Dimensional Generalized Additive Models. Journal of Statistical Planning and Inference, 199, 126--135.
Jing, B., Yang, G.*, Yu, X. and Zhang, C. (2018) Fused MCP with Application in Signal Processing. Journal of Computational and Graphical Statistics, 27, 872--886.
Li, R., Ren, J., Yang, G.* and Yu, Y. (2018) Asymptotic Behavior of Cox's Partial Likelihood and its Application to Variable Selection. Statistica Sinica, 28, 2713--2732.
Sun, Y.*, Qi, L, Yang, G. and Peter B.Gilbert (2018) Hypothesis Tests for Stratified Mark-Specific Proportional Hazards Models with Missing Covariates with Application to HIV Vaccine Efficacy Trials. Biometrical Journal, 60, 516--536.
Yang, G.*, Hou, S., Wang, L. and Sun, Y. (2018) Feature Screening in Ultrahigh Dimensional Additive Cox Model. Journal of Statistical Computation and Simulation, 88, 1117--1133.
Yang, G., Sun, Y.*, Qi, L. and Peter B. Gilbert (2017) Estimation of Stratified Mark-Specific Proportional Hazards Models with Two-Phase Sampling of Covariates with Application to HIV Vaccine Efficacy Trials. Statistics in Bioscience, 9, 259--283.
Yang, G., Sun, Y. and Cui, X.* (2017) Automatic Structure Discovery for Varying-coefficient Partially Linear Models. Communications in Statistics - Theory and Methods, 46, 7703--7716.
Yang, G., Cui, X.* and Hou, S.(2017) Empirical likelihood confidence regions in the single index model with growing dimensions. Communications in Statistics - Theory and Methods, 46, 7562--7579.
Cui, X.*, Guo, J. and Yang, G. (2017) On the Identiability and Estimation of Generalized Linear Models with Parametric Nonignorable Missing Data Mechanism. Computational Statistics and Data Analysis, 107, 64-80.
Yang, G., Yu, Y., Li, R.* and Buu, A. (2016) Feature Screening in Ultrahigh Dimensional Cox's Model. Statistica Sinica, 26, 881-901.
Zhang, Y. and Yang, G.* (2015) Estimation of Partially Specified Spatial Panel Data Models with Random-Effects. Acta Mathematica Sinica, 31, 456-478.
Zhang, Y. and Yang, G.* (2015) Statistical Inference of Partially Spatial Autoregressive Model. Acta Mathematicae Applicatae Sinica, 31, 1-16.
Yang, G., Huang, J. and Zhou, Y.* (2014) Concave Group Methods for Variable Selection and Estimation in High-Dimensional Varying Coefficient Models. Science in China Series A: Mathematics, 57, 2073-2090.
Yang, G. and Zhou, Y.* (2014) Semiparametric Varying-coefficient Study of Mean Residual Life Models. Journal of Multivariate Analysis, 128, 226--238.