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Elsevier电子期刊(10)

在“Elsevier电子期刊”中，命中：10条，耗时：0.0819594 秒

在所有数据库中总计命中：10条

1.Robust estimation and variable selection in sufficient dimension reduction

作者：Hossein Moradi Rekabdarkolaee ^{moradirekabh@vcu.edu} ; Edward Boone ^{elboone@vcu.edu} ; Qin Wang ; ^{qwang3@vcu.edu}

关键词：Robust estimation ; Shrinkage estimation ; Sufficient dimension reduction ; Variable selection

刊名：Computational Statistics & Data Analysis

出版年：2017

2.Principal minimax support vector machine for sufficient dimension reduction with contaminated data

作者：Jingke Zhou^a ; ^b ; Lixing Zhu^c ; ^d ; ^{lzhu@hkbu.edu.hk" class="auth_mail" title="E-mail the corresponding author}

关键词：Minimax robust support vector machines ; Robust sufficient dimension reduction ; Sparse sufficient dimension reduction ; Transformed sufficient dimension reduction

刊名：Computational Statistics & Data Analysis

出版年：2016

3.Dimension reduction based linear surrogate variable approach for model free variable selection

作者：Pengjie Dai^a ; Xiaobo Ding^b ; Qihua Wang^b ; ^c ; ^{qhwang@amss.ac.cn" class="auth_mail" title="E-mail the corresponding author}

关键词：Adaptive LASSO ; Central subspace ; Linear surrogate variable ; Sufficient dimension reduction ; Variable selection

刊名：Journal of Statistical Planning and Inference

出版年：2016

4.A three-stage unsupervised dimension reduction method for text clustering

作者：Kusum Kumari Bharti ; ^{kkusum.bharti@gmail.com" class="auth_mail} ; ^{kkusum_bharti@yahoo.com" class="auth_mail}Author Vitae ; P.K. Singh ^{pksingh@iiitm.ac.in" class="auth_mail}Author Vitae

关键词：Feature selection ; Feature extraction ; Dimension reduction ; Sparsity ; Three-stage model ; Text clustering

刊名：Journal of Computational Science

出版年：March, 2014

5.Robust variable selection through MAVE

作者：Weixin Yao^a ; ^{wxyao@ksu.edu} ; Qin Wang^b ; ^{qwang3@vcu.edu}

关键词：Sufficient dimension reduction ; MAVE ; Shrinkage estimation ; Robust estimation

刊名：Computational Statistics and Data Analysis

出版年：2013

6.Exploring central subspace via contour regression

作者：Hakbae Lee^a ; ^{hblee@yonsei.ac.kr} ; Pilkeun Choi^b ; ^{pkchoi@korea.kr}

关键词：primary ; 62G08 ; secondary ; 62H05

刊名：Journal of the Korean Statistical Society

出版年：2013

7.Dimension reduction using the generalized gradient direction

作者：Junlong Zhao ; Xiuli Zhao

刊名：Computational Statistics and Data Analysis

出版年：2010

8.A robust inverse regression estimator

作者：Liqiang Ni ; R. Dennis Cook

关键词：Central subspace ; Inverse regression estimator ; Sufficient dimension reduction

刊名：Statistics and Probability Letters

出版年：2007

9.Gauss meets Newton again: How to make Gauss orbit determination from two position vectors more efficient and robust with Newton–Raphson iterations

作者：Roy Danchick

关键词：Classical two-body problem ; Gauss orbit determination ; Functional iteration ; Newton– ; Raphson iteration ; Functions of a real variable

刊名：Applied Mathematics and Computation

出版年：2008

10.Robust estimation of dimension reduction space

作者：P. Č ; í ; ž ; ek and W. Hä ; rdle

刊名：Computational Statistics and Data Analysis

出版年：2006

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