Selected：
10 Yudong Wang, Yanlin Tang, Zhisheng Ye*. (2022). Paired or partially paired two-sample tests with unordered samples. Journal of the Royal Statistical Society, Series B, 84, 1503-1525.
9 Yanlin Tang, Huixia Judy Wang*, Emre Barut (2018). Testing the presence of significant covariates through conditional marginal regression. Biometrika, 105(1), 57-71.
8 Zhongfang Liu*, Yanlin Tang, Zhimin Jian, Christopher Poulsen, Jeffrey Welker and Gabriel Bowen*. (2017). Pacific North American circulation pattern links external forcing and North American hydroclimatic change over the past millennium. Proceedings of the National Academy of Sciences of the United States of America, 114(13), 3340-3345.
7 Yanlin Tang, Yinfeng Wang*, Huixia Judy Wang, Qing Pan. (2022). Conditional marginal test for high dimensional quantile regression. Statistica Sinica, 32, 869-892.
6 Hailin Huang#, Yuanzhang Li, Hua Liang*, Yanlin Tang#(co-first author). (2020). Estimation of single-index models with fixed censored responses. Statistica Sinica, 30, 829-843.
5 Yanlin Tang, Huixia Judy Wang*, Ying Sun, Amanda Hering. (2019). Copula-based semiparametric models for spatio-temporal data. Biometrics, 75,1156-1167.
4 Yali Fan, Yanlin Tang and Zhongyi Zhu*. (2018). Variable selection in censored quantile regression with high dimensional data. Science China-Mathematics, 61(4):641-658.
3 Yanlin Tang, Huixia Judy Wang*, Hua Liang (2018). Composite estimation for single-index models with responses subject to detection limits. Scandinavian Journal of Statistics, 45(3), 444-464.
2 Yanlin Tang, Huixia Judy Wang, Xuming He, Zhongyi Zhu*. (2012). An informative subset-based estimator for censored quantile regression. Test, 21, 635-655.
1 Yanlin Tang, Huixia Judy Wang, Zhongyi Zhu*, Xinyuan Song. (2012). A unified variable selection approach for varying coefficient models. Statistica Sinica, 22, 601-628.
Others:
26 Xiaorui Wang(Ph.D. student), Guoyou Qin, Yanlin Tang*, Yinfeng Wang*(2023+). Multiply robust estimation of quantile treatment effects with missing responses. Communications in Mathematics and Statistics, online.
25 储嘉诚 (硕士生), 唐炎林* (2023). 高维线性模型中的纠偏 LASSO 综述. 应用概率统计, 39, 455-474.
24 Yinfeng Wang, Huixia Judy Wang, Yanlin Tang*. (2023). Score-based test in high-dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data. Stat, 12, e610.
23 Yanlin Tang*#, Jinglong Wang#(co-first author), Zhongyi Zhu. (2023). On the MLE of the Waring distribution. Statistical Theory and Related Fields, 7, 144-158.
22 Fangzheng Lin, Yanlin Tang#(co-first author), Huichen Zhu, Zhongyi Zhu. (2022). Spatially clustered varying coefficient model. Journal of Multivariate Analysis, 192, 105023.
21 Yanlin Tang, Xinyuan Song, Grace Yun Yi*. (2022). Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes. Lifetime Data Analysis, 28, 139-168.
20 Xiaorui Wang(Ph.D. student), Guoyou Qin, Xinyuan Song, Yanlin Tang*. (2022). Censored quantile regression based on multiply robust propensity scores. Statistical Methods in Medical Research, 31, 475-487.
19 Menghan Yi(Ph.D. student), Zaixing Li*, Yanlin Tang. (2022). F-type testing in functional linear models. Stat, 11, e420.
18 Lijuan Shen, Yanlin Tang*, Loon Ching Tang*. (2021). Understanding key factors affecting power systems resilience. Reliability Engineering and System Safety, 212, No. 107621.
17 Hefei Liu#, Xinyuan Song*, Yanlin Tang#(co-first author), Baoxue Zhang. (2021). Bayesian quantile non-homogeneous hidden Markov models. Statistical Methods in Medical Research, 30, 112-128.
16 Yinfeng Wang, Yanlin Tang*, Xinsheng Zhang. (2020). A two-step test for the two-sample problem of processes of Ornstein-Uhlenbeck type. Journal of Systems Science and Complexity, 33, 2067-2079.
15 Zhikun Gao, Yanlin Tang, Huixia Judy Wang*, Guangying Wu, Jeff Lin. (2020). Automatic identification of curve shapes with application to ultrasonic vocalization. Computational Statistics and Data Analysis, 148, 106956.
14 Fangzheng Lin, Yanlin Tang, Zhongyi Zhu*.(2020). Weighted quantile regression in varying-coefficient model with longitudinal data.Computational Statistics and Data Analysis, 145, 106915.
13 Fuyuan Li, Yanlin Tang, Huixia Judy Wang*. (2019). Copula-based semiparametric analysis for time series data with detection limits. Canadian Journal of Statistics, 47, 438-454.
12 Hailin Huang, Yanlin Tang, Yuanzhang Li, Hua Liang*. (2019). Estimation in additive models with fixed censored responses. Journal of Nonparametric Statistics, 31, 131-143.
11 Yinfeng Wang, Yanlin Tang and Xinsheng Zhang*. (2016). CGMM LASSO-type estimator for the process of Ornstein–Uhlenbeck type. Journal of the Korean Statistical Society, 45, 114-122.
10 Nan Chen, Yanlin Tang, Zhisheng Ye*. (2016). Robust quantile analysis for accelerated life test data. IEEE Transactions on Reliability, 65(2), 901-913.
9 Yanlin Tang* and Huixia Judy Wang. (2015). Penalized regression across multiple quantiles under random censoring. Journal of Multivariate Analysis, 141, 132-146.
8 Yanlin Tang, Yinfeng Wang, Jingru Li*, Weimin Qian. (2015). Improve estimation efficiency in quantile regression with longitudinal data. Journal of Statistical Planning and Inference, 165, 38-55.
7 Yanlin Tang, Xinyuan Song and Zhongyi Zhu*. (2015). Threshold effect test in censored quantile regression. Statistics & Probability Letters, 105, 149-156.
6 Mi Zhou, Huixia Judy Wang*, and Yanlin Tang. (2015). Sequential change point detection in linear quantile regression models. Statistics & Probability Letters, 100, 98-103.
5 Yanlin Tang, Xinyuan Song and Zhongyi Zhu*. (2015). Variable selection via composite quantile regression with dependent errors. Statistica Neerlandica, 69, 1-20.
4 Yinfeng Wang, Yanlin Tang, Xinsheng Zhang*. (2015). Estimation of parameters of the Ornstein-Uhlenbeck type processes with continuum of moment conditions. Communications in Statistics-Theory and Methods, 44, 5189–5203.
3 Yanlin Tang, Liya Xiang, Zhongyi Zhu*. (2014). Risk factor selection in rate-making: EM-adaptive LASSO for zero-inflated Poisson regression models. Risk Analysis, 34, 1112-1127.
2 Yanlin Tang, Xinyuan Song, Huixia Judy Wang, Zhongyi Zhu*. (2013). Variable selection in high-dimensional quantile varying coefficient models. Journal of Multivariate Analysis, 122, 115-132.
1 Yanlin Tang, Huixia Judy Wang, Zhongyi Zhu*. (2013). Variable selection in quantile varying coefficient models with longitudinal data. Computational Statistics and Data Analysis, 57, 435-449.
book/chapter：
Yanlin Tang, Emre Barut, Huixia Judy Wang. (2021). High dimensional inference, book chapter, to appear.
张日权, 刘玉坤, 唐炎林, 王小舟. (2023). 现代非参数统计方法, 科学出版社.
