当前位置: X-MOL首页全球导师 国内导师 › 来鹏

个人简介

受教育经历 1998年9月-2002年7月,山西师范大学,数学与计算机学院,本科; 2002年9月-2005年3月,东南大学,理学院数学系,硕士; 2007年9月-2010年6月,中国科学院数学与系统科学研究院,应用数学所,博士。 研究工作经历: 2005年5月至今,南京信息工程大学,数学与统计学院,教师; 2010年7月至2011年2月,新加坡南洋理工大学,数学与物理学院,Research Fellow。 2012年3月至2012年9月,新加坡南洋理工大学,数学与物理学院,Research Fellow。 2013年7月至2013年8月,新加坡南洋理工大学,数学与物理学院,访问学者。

研究领域

半参数模型统计推断 复杂数据分析 高维数据变量选择 超高维数据降维

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Lai Peng, Song Fengli and Gao Yufei. Stable feature screening for ultrahigh dimensional data. Journal of the Korean Statistical Society. 2019. 48, 221-232. (SCI) Song Fengli, Lai Peng, Shen Baohua and Cheng Guosheng. Variance ratio screening for ultrahigh dimensional discriminant analysis. Communications in Statistics - Theory and Methods. 2018. 47, 6034-6051. (SCI) Li Xingxiang, Cheng Guosheng, Wang Liming, Lai Peng and Song Fengli. Ultrahigh dimensional feature screening via projection. Computational Statistics and Data Analysis. 2017. 114, 88-104. (SCI) Lai Peng, Song Fengli, Chen Kaiwen, and Liu Zhi. Model free feature screening with dependent variable in ultrahigh dimensional binary classification. Statistics and Probability Letters. 2017, 125, 141-148. (SCI) Cheng Guosheng, Li Xingxiang, Lai Peng, Song Fengli and Yu Jun. Robust rank screening for ultrahigh dimensional discriminant analysis. Statistics & Computing. 2017, 27, 535-545. (SCI) Lai Peng, Liu Yiming, Liu Zhi and Wan Yi. Model free feature screening for ultrahigh dimensional data with responses missing at random. Computational Statistics and Data Analysis. 2017. 105, 201-216. (SCI) Lai Peng, Zhang Qingzhao, Lian Heng and Wang Qihua. Efficient estimation for the heteroscedastic single-index varying coefficient models. Statistics and Probability Letters. 2016. 110, 84-93. (SCI) Zhao Weihua, Lian Heng, Zhang Riquan and Lai Peng. Estimation and variable selection for proportional response data with partially linear single-index models. Computational Statistics and Data Analysis. 2016. 96, 40-56. (SCI) Li Gaorong, Lai Peng and Lian Heng. Variable selection and estimation for partially linear single-index models with longitudinal data. Statistics and Computing. 2015. 25(3), 579-593. (SCI) Li Gaorong, Lian Heng, Lai Peng and Peng Heng. Variable Selection for Fixed Effects Varying Coefficient Models. Acta Mathematica Sinica, English Series. 2015. 31(1), 91-110. (SCI) Lai Peng, Meng Jie and Lian Heng. Polynomial spline approach for variable selection and estimation in varying coefficient models for time series data. Statistics and Probability Letters. 2015. 96(1), 21-27. (SCI) Lai Peng and Wang Qihua. Semiparametric efficient estimation for partially linear single-index models with responses missing at random. Journal of Multivariate Analysis. 2014, 128 (1), 33-50. (SCI) Lai Peng, Wang Qihua and Zhou Xiaohua. Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear single-index model. Computational Statistics and Data Analysis. 2014, 70, 241-256. (SCI) Lai Peng, Tian Ye and Lian Heng. Estimation and variable selection for generalized partially linear single-index models. Journal of Nonparametric Statistics. 2014, 26(1), 171-185. (SCI) Lai Peng, Li Gaorong and Lian Heng. Quadratic inference functions for partially linear single-index models with longitudinal data. Journal of Multivariate Analysis. 2013, 118(1), 115-127. (SCI) Lai Peng, Li Gaorong and Lian Heng. Semiparametric Estimation of Fixed Effects Panel Data Single-index Model. Statistics and Probability Letters. 2013. 83(6), 1595-1602. (SCI) Wang Lichun, Lai Peng, Lian Heng. Polynomial spline estimation for generalized varying coefficient partially linear models with a diverging number of components. Metrika. 2013, 1083-1103. (SCI) Lian Heng, Lai Peng and Liang Hua. Partially linear structure selection in Cox models with varying coefficients. Biometrics. 2013. 69(2), 348-357. (SCI) Lai Peng. Variable selection for partially linear single-index model with responses missing at random. Journal of Computational Information Systems. 2013. 9(3), 1229-1236. (EI) Lai Peng, Wang Qihua and Lian Heng. Bias-corrected GEE estimation and smooth-threshold GEE variable selection for single-index models with clustered data. Journal of Multivariate Analysis. 2012, 105 (1), 422-432. (SCI) Lai Peng and Guo Shuai. Variable selection for partially liear single-index model. Journal of Computational Information Systems. 2012, 8 (14), 5917-5924. (EI) Wang Qihua and Lai Peng. Empirical likelihood calibration estimation for the median treatment difference in observational studies. Computational Statistics and Data Analysis. 2011, 55 (4), 1596-1609. (SCI) Lai Peng and Wang Qihua. Partially linear single-index model with missing responses at random, Journal of Statistical Planning and Inference. 2011, 141 (2), 1047-1058. (SCI) Wang Qihua, Yao, Lili and Lai Peng. Estimation of the area under ROC curve with censored data. Journal of Statistical Planning and Inference. 2009, 139 (3), 1033-1044. (SCI)

推荐链接
down
wechat
bug