【Accepted】
67. Xuancheng Wang#, Ling Zhou# and Huazhen Lin*. Deep regression learning with optimal loss function. Journal of the American Statistical Association. Online.
66. Xun Zhao, Ling Zhou, Weijia Zhang and Huazhen Lin*. Tensor Decomposition-assisted Multiview Subgroup Analysis. Acta Mathematica Sinica, English Series. Online.
65. Qingzhi Zhong, Wei Liu, Li Liu, Hua Liang and Huazhen Lin*. Generalized functional feature regression models. Statistica Sinica. Online.
【2024年】
64. Ge Zhao*, Yanyuan Ma, Huazhen Lin and Yi Li (2024). Evaluation of transplant benefits with the U.S. Scientific Registry of Transplant Recipients by semiparametric regression of mean residual life. The Annals of Applied Statistics. 18, 2403-2423.
63. Guizhen Li#, Mengying You#, Ling Zhou, Hua Liang and Huazhen Lin* (2024). A projection-based diagnostic test for generalized functional regression models. Statistica Sinica. 34,1973-1995.
62. Wei Liu, Huazhen Lin*, Jin Liu and Shurong Zheng (2024). Two-directional simultaneous inference for high-dimensional models. Journal of Business & Economic Statistics. 42, 1, 298-309.
61. Jiaxin Liu#, Hongliang Liu#, Yi Li and Huazhen Lin* (2024). A Combined Moment Equation Approach for Spatial Autoregressive Models. The Canadian Journal of Statistics. 52, 2, 577-596.
【2023年】
60. Chenlin Zhang, Huazhen Lin*, Li Liu, Jin Liu and Yi Li (2023). Functional data analysis with covariate-dependent mean and covariance structures. Biometrics. 79, 2232-2245.
59. Ye He#, Ling Zhou#, Yingcun Xia and Huazhen Lin* (2023). Centre-augmented L2-type regularization for subgroup learning. Biometrics. 79, 2157-2170.
58. Wei Liu, Huazhen Lin*, Li Liu, Yanyuan Ma, Ying Wei and Yi Li (2023). Supervised structural learning of semiparametric regression on high-dimensional correlated covariates with applications to eQTL studies. Statistics in Medicine. 42, 3145-3163.
57. Huazhen Lin, Shuangxue Zhao, Li Liu* and Wenyang Zhang (2023). Structured Ultrahigh Dimensional Multiple-Index Models with Efficient Estimation in Computation and Theory. Statistica Sinica. 33, 2137-2160.
56. Wei Liu, Huazhen Lin*, Shurong Zheng and Jin Liu (2023). Generalized factor model for ultra-high dimensional correlated variables with mixed types. Journal of the American Statistical Association. 118, 1385-1401.
【2022年】
55. Wei Liu, Xu Liao, Yi Yang, Huazhen Lin, Joe Yeong, Xiang Zhou*, Xingjie Shi* and Jin Liu* (2022). Joint dimension reduction and clustering analysis of single-cell RNA-seq and spatial transcriptomics data. Nucleic Acids Research. 50, e72.
54. Mengyin You, Huazhen Lin* and Hua Liang (2022). Dynamically integrated regression model for online auction data. Science China. 66(7)1531-1552
53. Huazhen Lin*, Jiaxin Liu, Haoqi Li, Lixian Pan and Yi Li (2022). Effcient Estimation and Computation in Generalized Varying Coeffcient Models with Unknown Link and Variance Functions for Large-Scale Data. Statistica Sinica. 32, 847-868.
52. Jiakun Jiang, Huazhen Lin*, Qingzhi Zhong and Yi Li (2022). Analysis of multivariate non-gaussian functional data: a semiparametric latent process approach. Journal of Multivariate Analysis. 189, 104888.
51. Jiakun Jiang, Huazhen Lin*, Heng Peng, Gang-Zhi Fan and Yi Li (2022). Cluster Analysis with Regression of Non-Gaussian Functional Data on Covariates. Canadian Journal of Statistics. 50, 221-240.
【2021年】
50. Qinzhi Zhong, Huazhen Lin* and Yi Li (2021). Cluster Non-Gaussian Functional Data. Biometrics. 77, 852-865.
49. Huazhen Lin*, Wei Liu and Wei Lan (2021). Regression analysis with individual-specific patterns of missing covariates. Journal of Business & Economic Statistics. 39, 179-188.
48. Huazhen Lin, Jiakun Jiang, Binhuan Wang* and Paul S. F. Yip (2021). A threshold varying-coefficient autoregressive model for analyzing the influence of media reports of suicide on the actual suicides. Statistica Sinica. 31, 361-390.
【2019年】
47. Kevin He, Jian Kang, Hyokyoung G.Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu and Yi Li* (2019). Covariance-insured screening. Computational Statistics and Data Analysis. 132, 100-114.
46. Huazhen Lin, Hyokyoung G. Hong, Baoying Yang, Wei Liu, Yong Zhang, Gang-Zhi Fan and 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.
45. 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.
44. Ling Zhou, Huazhen Lin*, Kani Chen and Hua Liang (2019). Efficient estimation and computation of parameters and nonparametric functions in generalized semi/non-parametric regression models. Journal of Econometrics. 213, 593-607.
43. 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.
42. 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.
41. Xuerong Chen, Haoqi Li, Hua Liang and Huazhen Lin* (2019). Functional response regression analysis. Journal of Multivariate Analysis. 169, 218-233.
【2018年】
40. Ling Zhou, Huazhen Lin* and Hua Liang (2018). Efficient estimation of the nonparametric mean and covariance functions for longitudinal and sparse functional data. Journal of the American Statistical Association. 113, 1550-1564.
39. Shaogao Lv, Jiakun Jiang, Fanyin Zhou, Jian Huang and Huazhen Lin*(2018). Estimating High-Dimensional Additive Cox Model Withtime-Dependent Covariate Processes. Scandinavian Journal of Statistics. 45, 900-922
38. Ye He, Huazhen Lin* and Dongsheng Tu (2018). A single-index threshold Cox proportional hazard model for identifying treatment-sensitive subset based on multiple biomarkers. Statistics in Medicine. 37, 3267-3279.
37. Huazhen Lin*, Fanyin Zhou, Qiuxia Wang, Ling Zhou and Jing Qin (2018). Robust and efficient estimation for the treatment effect in causal inference and missing data problems. Journal of Econometrics. 205, 363-380.
36. Shaogao Lv, Mengying You, Huazhen Lin*, Heng Lian and Jian Huang (2018). On the sign consistency of the Lasso for the high-dimensional Cox model. Journal of Multivariate Analysis. 167, 79-96.
35. Shaogao Lv, Huazhen Lin*, Heng Lian and Jian Huang (2018). Oracle Inequalities for Sparse Additive Quantile Regression in Reproducing Kernel Hilbert Space. The Annals of Statistics. 46, 781–813.
34. Huazhen Lin*, Lixian Pan, Shaogao Lv and Wenyang Zhang (2018). Efficient Estimation and Computation for the Generalized Additive Models with Unknown Link Function. Journal of Econometrics. 202, 230–244.
【2017年】
33. Yunbei Ma, Yi Li, Huazhen Lin* and Yi Li (2017). Concordance measure-based feature screening and variable selection. Statistica Sinica. 27, 1967-1985.
32.Huazhen Lin*, Ling Zhou and Binhuan Wang (2017). Generalized partial linear models with unknown link and unknown baseline functions for longitudinal data. Statistica Sinica. 27, 1281-1298.
【2016年】
31.Huazhen Lin*, Zhe Fei and Yi Li (2016). A semiparametrically efficient estimator of the time-varying effects for survival data with time-dependent treatment. Scandinavian Journal of Statistics. 43, 649-663.
30. Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei and Yi Li* (2016). Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates. Bioinformatics. 32, 50-57.
29. 蒋家坤,林华珍*,蒋靓, Paul S. F. YIP (2016).门槛回归模型中门槛值和回归参数的估计，《中国科学》.46, 409-422.
28. Huazhen Lin*, Ming T. Tan and Yi Li (2016). A Semiparametrically Efficient Estimator of Single-index Varying Coefficient Cox Proportional Hazards Models. Statistica Sinica. 26, 779-807.
27. Huazhen Lin*, Ye He and Jian Huang (2016). A global partial likelihood estimation in the additive Cox proportional hazards model. Journal of Statistical Planning and Inference. 169, 71-87.
26. Ling Zhou, Huazhen Lin and Yi-Chen Lin* (2016). Education, Intelligence, and Well-Being: Evidence from a Semiparametric Latent Variable Transformation Model for Multiple Outcomes of Mixed Types. Social Indicators Research. 125, 1011-1033.
【2015年】
25. 李好奇,林华珍,张兴凤,朱玉峰,张伟(2015).基于混合效应模型的医保费用测算及监控.《数理统计与管理》.34, 1040-1047.
【2014年】
24. Huazhen Lin, Ling Zhou and Xiao-Hua Zhou* (2014). Semiparametric regression analysis of longitudinal skewed data. Scandinavian Journal of Statistics. 41, 1031–1050.
23. Ling Zhou, Huazhen Lin*, Xin-Yuan Song and Yi Li (2014). Selection of latent variables for multiple mixed-outcome models. Scandinavian Journal of Statistics. 41,1064-1082.
22. Huazhen Lin*, Ling Zhou, Chunhong Li and Yi Li (2014). Semiparametric transformation models for semicompeting survival data. Biometrics. 70, 599-607.
21. Huazhen Lin*, Ling Zhou, Robert M. Elashof and Yi Li (2014). Semiparametric latent variable transformation models for multiple mixed outcomes. Statistica Sinica. 24, 833-854.
20. Huazhen Lin*, Yi Li, Liang Jiang and Gang Li (2014). A semiparametric linear transformation model to estimate causal effects for survival data. Canadian Journal of Statistics. 42, 18-35.
【2013年】
19.Huazhen Lin* and Jianxin Pan (2013). Nonparametric estimation of mean and covariance structures for longitudinal data. Canadian Journal of Statistics. 41, 557-574.
18. 罗荣华*，林华珍，翟立宏(2013).银行理财产品收益率曲线的构建与分析—基于随机效应半参数模型的方法.《金融研究》. 7, 107-120.
17. Huazhen Lin*,Yi Li and Ming T. Tan (2013). Estimating a unitary effect summary based on combined survival and quantitative outcomes. Computational Statistics and Data Analysis. 66, 129-139.
16. Huazhen Lin and Heng Peng* (2013). Smoothed rank correlation of the linear transformation regression model. Computational Statistics and Data Analysis. 57, 615-630.
【2012年】
15. Huazhen Lin, Xiao-hua Zhou* and Gang Li (2012). A Direct Semiparametric Receiver Operating Characteristic Curve Regression with Unknown Link and Baseline Functions. Statistica Sinica. 22, 1427-1456.
14. Kani Chen, Huazhen Lin* and Yong Zhou (2012). Efficient estimation for the Cox model with varying coefficients. Biometrika. 2, 379-392.
【2011年】
13. Huazhen Lin*, Paul S. F. Yip and Richard M. Huggins (2011). A Nonparametric Estimation of the Infection Curve. Science China. 54, 1815-1828.
12. Huazhen Lin, Ling Zhou, Heng Peng and Xiao-Hua Zhou* (2011). Selection and combination of biomarkers using ROC method for disease classification and prediction. Canadian Journalof Statistics. 39, 324-343.
【2010年】
11. Huazhen Lin and Peter X.-K. Song* (2010). Longitudinal Semiparametric Transition Models with Unknown Link and Variance Functions. Statistics and Its Interface. 3, 197-209.
10. Huazhen Lin, Danping Liu and Xiao-Hua Zhou* (2010). A correlated random effects model for longitudinal data with nonignorable missingness. Statistics in Medicine. 29, 236-247.
【2009年】
9. Huazhen Lin and Xiao-Hua Zhou* (2009). A semi-parametric two-part mixed-effects heteroscedastic transformation model for correlated right-skewed semi-continuous data. Biostatistics. 10, 640-658.
8. Xiao-Hua Zhou*, Huazhen Lin and Eric Johnson (2009). Nonparametric heteroscedastic transformation regression models for skewed data with an application to health care costs. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 70, 1029-1047.
7. Huazhen Lin, Paul S.F.YIP* and Feng Chen (2009). Estimating the Population Size for a Multiple List Problem with an Open Population. Statistica Sinica. 19, 177-196.
【2008年】
6. Xiao-Hua Zhou* and Huazhen Lin (2008). Semi-parametric maximum likelihood estimates for ROC curves of continuous-scale tests. Statistics in Medicine. 10, 5271-5290.
5. Huazhen Lin, Paul S.F.YIP* and Richard M. Huggins (2008). A Double-nonparametric Procedure for Estimating the Number of Delay-reported Cases. Statistics in Medicine. 27, 3325-3339.
【2007年】
4. Huazhen Lin, Peter X.-K. SONG* and Qian M. Zhou (2007). Varying-coefficient generalised linear models for longitudinal data. Sankhya. 69, 582-615.
【2006年】
3. Zhou, X. H.*, Qin, G., Huazhen Lin and Li, G. (2006). Inferences in Censored Cost Regression Models with Empirical Likelihood. Statistica Sinica. 16, 1213-1232.
2. Jianqing Fan, Huazhen Lin and Yong Zhou* (2006). Local partial-likelihood estimation for life time data. The Annals of Statistics. 34, 290-325.
【2005年】
1. Paul S.F.Yip*, Huazhen Lin and Liqun Xi (2005). A Semiparametric Method for Estimating Population Size for Capture-Recapture Experiments with Random Covariates in Continuous Time. Biometrics. 61, 1085-1092.
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