Huazhen Lin*,Hyokyoung G. Hong, Baoying Yang, Wei Liu, Yong Zhang, Gang-Zhi Fan, Yi Li*(2019). Nonparametric time-varying coefficient models for panel data: Study of collection rate of public pension contributions. Statistics in Biosciences.11， 548-566.
Bai, F., Chen, X., Chen, Y., & Huang, T.(2019). A general quantile residual life model for length‐biased right‐censored data. Scandinavian Journal of Statistics, 46(4), 1191-1205.
Haoqi Li, Huazhen Lin*, Paul S. F. Yip and Yuan Li (2019). Estimating population size of heterogeneous populations with large data sets and a large number of parameters. Computational Statistics and Data Analysis. 139，34-44.
Ling Zhou, Haoqi Li, Huazhen Lin and Peter X.-K. SONG* (2019). Evaluating functional covariate-environment interactions in the Cox regression model. Canadian Journal of Statistics. 47, 204–221.
Xuerong Chen, Haoqi Li, Hua Liang and Huazhen Lin* (2019). Functional response regression analysis. Journal of Multivariate Analysis. 169, 218-233.
Shulin Zhang, Qian M. Zhou, Dongming Zhu & Peter X.-K. Song (2019) Goodness-of-Fit Test in Multivariate Jump Diffusion Models, Journal of Business & Economic Statistics, 37:2, 275-287,
Mingxuan Cai, Mingwei Dai, Jingsi Ming, Heng Peng, Jin Liu & Can Yang，2019，BIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With Applications Journal of Computational and Graphical Statistics https://doi.org/10.1080/10618600.2019.1624365，
Rui She, Shiqing Ling （2019），Inference in heavy-tailed vector error correction models，Journal of Econometrics，https://doi.org/10.1016/j.jeconom.2019.03.008
Fengmao Lv, Jun Zhu , Guowu Yang ∗, Lixin Duan ∗,2019, TarGAN: Generating target data with class labels for unsupervised domain adaptation, Knowledge-Based Systems, 172.123–129
Wei Lan and Lilun Du (2019) “A Factor-Adjusted Multiple Testing Procedure with Application to Mutual Fund Selection”, Journal of Business and Economics Statistics, 37,147--157.
Fang fang., Wei Lan., Jingjing Tong and Jun Shao (2018+) “Model averagying for prediction with fragmentary data,” Journal of Business and Economic Statistics, 37,517-527. （2013：B；2018：A）sci
Shujie Ma, Wei Lan, Liangjun Su and Chih-Ling Tsai (2018+) “Testing alpha in conditional time-varying factor models with high dimensional assets,” Journal of Business and Economics Statistics, https://doi.org/10.1080/07350015.2018.1482758.
Danyang Huang, Wei Lan*, Zhang, H, Hansheng Wang (2019),“Least Squares Estimation for Social Autocorrelation in Large-Scale Networks”，Electronic Journal of Statistics，13， 1135--1165.
Yingying Ma, Wei Lan*, Fanyin Zhou and Hansheng Wang (2019),Approximate Least Squares Estimation for Spatial Autoregressive Models with Covariates, Computational Statistics & Data Analysis，143.
Xuerong Chen, Yan Chen,Alan T.K. Wan, Yong Zhou ,2019, On the asymptotic non-equivalence of efficient-GMM and MEL estimators in models with missing data, Scand J Statist. 46.361–388
Shuo Li, Bin Guo and Yundong Tu ,2019, Simultaneous Diagnostic Testing for Nonlinear Time Series Models with An Application to the U.S. Federal Fund Rate* OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 0305–9049
Fode Zhang, Heng Lian, 2019, Partially functional linear regression with quadratic regularization，Inverse Problems，35.105002(28pp)
Fode Zhang, Hon Keung Tony Ng, Yimin Shi, 2019, Geometry on degradation models and mis-specification analysis by using alpha-divergence，Physica A,527.121343
Weihua Zhao, Fode Zhang, Heng Lian，Debiasing and Distributed Estimation for High-Dimensional Quantile Regression，IEEE Transactions on Neural Networks and Learning Systems,
Weihua Zhao, Fode Zhang, Xuejun Wang, Rui Li, Heng Lian，Principal varying coefficient estimator for high dimensional models，STATISTICS https://doi.org/10.1080/02331888.2019.1663521
庄丹，刘友波，马铁丰，2019, 多变点检测问题的Shape-based BS算法. 高校应用数学学报， 34(2): 151-164.
Ruili Sun, Tiefeng Ma, Shuangzhe Liu, 2019, Portfolio selection based on semivariance and distance correlation under minimum variance framework. Statistica Neerlandica, 73 373-394.
Ruili Sun,Tiefeng Ma, Shuangzhe Liu,2020， Portfolio selection: Shrinking the time-varying inverse conditional covariance matrix. Statistical Papers,61, pages 2583–2604.
Mingchang Cheng,Tiefeng Ma, Youbo Liu, 2019, A projection-based split-and-merge clustering algorithm. Expert Systems with Applications, 116 121-130.
Shuangzhe Liu,Tiefeng Ma, 2019,Discussion of “Birnbaum-Saunders distribution: A review of models analysis and applications.” Applied Stochastic models in Business and Industry, 35(1) 122-125
Ling Zhou, Huazhen Lin*, Kani Chen and Hua Liang. Efficient estimation and computation of parameters and nonparametric functions in generalized semi/non-parametric regression models. Journal of Econometrics. 213.593-607
Xiaoping Zhan, Tiefeng Ma, Shuangzhe Liu, Kunio Shimizu, 2019，On circular correlation for data on the torus. Statistical Paper, 60.6,1827-1847
Fangfang Bai，Xuerong Chen，Yan Chen，Tao Huang*（2019）A general quantile residual life model for length-biased right-censored data，Scand J Statist. 2019;46:1191–1205.
Huazhen Lin*, Baoying Yang, Ling Zhou, Paul S. F. YIP, Ying-Yeh Chen and Hua Liang.2019，Global kernel estimator and test of varying-coefficient autoregressive model. Canadian Journal of Statistics.47.487-519.
