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科研机构

北京大学 [4]

上海财经大学 [4]

山东大学 [3]

西安交通大学 [2]

北京航空航天大学 [2]

数学与系统科学研究院 [2]

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	Variable selection for partially varying coefficient model based on modal regression under high dimensional data 期刊论文 COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2022, 卷号: 51, 期号: 1, 页码: 232-248 作者: Xia, Yafeng; Zhang, Lirong; Zhang, Aiping 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/03/01 Partially varying coefficient model high dimensional data modal regression variable selection
	Jackknife model averaging for high-dimensional quantile regression 期刊论文 BIOMETRICS, 2021, 页码: 12 作者: Wang, Miaomiao; Zhang, Xinyu; Wan, Alan T. K.; You, Kang; Zou, Guohua 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/04/02 asymptotic optimality high-dimensional quantile regression marginal quantile utility model averaging
	Lack-of-fit tests for quantile regression models 期刊论文 JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2019, 卷号: 81, 期号: 3, 页码: 629-648 作者: Dong, Chen; Li, Guodong; Feng, Xingdong 收藏 \| 浏览/下载：18/0 \| 提交时间：2019/08/22 High dimensional data Hypothesis test Lack of fit Quantile regression Two-sample test
	Multiple influential point detection in high dimensional regression spaces 期刊论文 JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2019, 卷号: 81, 页码: 385-408 作者: Zhao, Junlong; Liu, Chao; Niu, Lu; Leng, Chenlei 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/30 False discovery rate Group deletion High dimensional linear regression Influential point detection Masking and swamping Robust statistics
	A group adaptive elastic-net approach for variable selection in high-dimensional linear regression 期刊论文 SCIENCE CHINA-MATHEMATICS, 2018, 卷号: 61, 期号: 1, 页码: 173-188 作者: Hu, Jianhua; Huang, Jian; Qiu, Feng 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/08/22 high-dimensional regression group variable selection group adaptive elastic-net oracle inequalities oracle property
	A new nonparametric test for high-dimensional regression coefficients 期刊论文 JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2017, 卷号: 87, 期号: 5, 页码: 855-869 作者: Xu, Kai 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/08/22 Large p small n high-dimensional regression rank regression Wilcoxon's test
	Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications 期刊论文 NEUROIMAGE, 2017, 卷号: 144 作者: Tao, Chenyang; Nichols, Thomas E.; Hua, Xue; Ching, Christopher R. K.; Rolls, Edmund T. 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/05 Dimension reduction Generalized linear model High dimensional tensor field Latent factor Least squares kernel machines Nuclear norm regularization Reduced rank regression Riemannian manifold
	L1 least squares for sparse high-dimensional LDA 其他 2017-01-01 Li, Yanfang; Jia, Jinzhu 收藏 \| 浏览/下载：3/0 \| 提交时间：2017/12/03 High-dimensional LDA Lasso sparsity LINEAR DISCRIMINANT-ANALYSIS LASSO CLASSIFICATION REGRESSION
	A bisection-sampling-based support vector regression-high-dimensional model representation metamodeling technique for high-dimensional problems 期刊论文 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2017, 卷号: 231, 页码: 2173-2186 作者: Ju, Yaping; Parks, Geoff; Zhang, Chuhua 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/26 efficiency high-dimensional model representation support vector regression accuracy Metamodel
	The likelihood ratio test for high-dimensional linear regression model 期刊论文 COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 卷号: 46, 期号: 17, 页码: 8479-8492 作者: Xie, Junshan[1]; Xiao, Nannan[2] 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/23 High-dimensional data likelihood ratio test multivariate regression

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