中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Orthogonalizing EM: A Design-Based Least Squares Algorithm

文献类型:期刊论文

作者Xiong, Shifeng1; Dai, Bin2; Huling, Jared3; Qian, Peter Z. G.3
刊名TECHNOMETRICS
出版日期2016-08-01
卷号58期号:3页码:285-293
关键词Computational statistics Design of experiments Missing data Orthogonal design SCAD The Lasso
ISSN号0040-1706
DOI10.1080/00401706.2015.1054436
英文摘要We introduce an efficient iterative algorithm, intended for various least squares problems, based on a design of experiments perspective. The algorithm, called orthogonalizing EM (OEM), works for ordinary least squares (OLS) and can be easily extended to penalized least squares. The main idea of the procedure is to orthogonalize a design matrix by adding new rows and then solve the original problem by embedding the augmented design in a missing data framework. We establish several attractive theoretical properties concerning OEM. For the OLS with a singular regression matrix, an OEM sequence converges to the Moore-Penrose generalized inverse-based least squares estimator. For ordinary and penalized least squares with various penalties, it converges to a point having grouping coherence for fully aliased regression matrices. Convergence and the convergence rate of the algorithm are examined. Finally, we demonstrate that OEM is highly efficient for large-scale least squares and penalized least squares problems, and is considerably faster than competing methods when n is much larger than p. Supplementary materials for this article are available online.
资助项目National Natural Science Foundation of China[11271355] ; National Natural Science Foundation of China[11471172]
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000381014100002
出版者AMER STATISTICAL ASSOC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/23289]  
专题系统科学研究所
通讯作者Xiong, Shifeng
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Tower Res Capital, 377 Broadway, New York, NY 10013 USA
3.Univ Wisconsin, Dept Stat, Madison, WI 53706 USA
推荐引用方式
GB/T 7714
Xiong, Shifeng,Dai, Bin,Huling, Jared,et al. Orthogonalizing EM: A Design-Based Least Squares Algorithm[J]. TECHNOMETRICS,2016,58(3):285-293.
APA Xiong, Shifeng,Dai, Bin,Huling, Jared,&Qian, Peter Z. G..(2016).Orthogonalizing EM: A Design-Based Least Squares Algorithm.TECHNOMETRICS,58(3),285-293.
MLA Xiong, Shifeng,et al."Orthogonalizing EM: A Design-Based Least Squares Algorithm".TECHNOMETRICS 58.3(2016):285-293.

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来源:数学与系统科学研究院

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