Paper Publications
- [16] Shi, Jiandong. Optimally estimating the sample standard deviation from the five-number summary. RESEARCH SYNTHESIS METHODS, 11, 641-654, 2020.
- [17] Liu, Yongxin. Generalized l(1)-penalized quantile regression with linear constraints. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 142, 2020.
- [18] Feng, Zhenghui. Nonparametric variable selection and its application to additive models. Annals of the Institute of Statistical Mathematics, 72, 827, 2020.
- [19] Chu, Yi. Conditional SIRS for nonparametric and semiparametric models by marginal empirical likelihood. Stat Papers , 61, 1589, 2020.
- [20] 孙天琦. Matrix-variate generalized linear model with measurement error. Stat Papers, 6, 2024.
- [21] . k-sample upper expectation linear regression-Modeling, identifiability, estimation and prediction. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 170, 15-26, 2016.
- [22] . k-sample upper expectation linear regression-Modeling, identifiability, estimation and prediction. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 170, 15-26, 2016.
- [23] 马晓雨. A general framework of online updating variable selection for generalized linear models with streaming datasets. Journal of Statistical Computation and Simulation, 2022.
- [24] 王芳芳. Estimation and clustering for partially heterogeneous single index model. Stat Papers , 2020.
- [25] Qi Zhang. GMM and Misspecification Correction for Misspecified Models with Diverging Number of Parameters. Acta Mathematicae Applicatae Sinica, 2019.
- [26] 林路. 不确定条件下的回归模型及其统计推断. 邵阳学院学报(社会科学版), 2017.
- [27] 石建栋. Optimally estimating the sample standard deviation from the five‐ number summary. RESEARCH SYNTHESIS METHODS, 2020.
- [28] 盖玉洁. 自适应的 Dantzig 选择器的渐 近性质研究. 中国科学:数学, 2017.
- [29] Wang, Kang-ning. Variable Selection for Varying Coefficient Models Via Kernel Based Regularized Rank Regression. Acta Mathematicae Applicatae Sinica, 36, 458, 2020.
- [30] 柳莉莉. Capturing heterogeneity in repeated measures data by fusion penalty. STATISTICS IN MEDICINE, 40, 1901, 2020.
| TOTAL 146 PIECE 2/10 |
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