PETER HALL'S WORK ON HIGH-DIMENSIONAL DATA AND CLASSIFICATION

成果类型:
Article
署名作者:
Samworth, Richard J.
署名单位:
University of Cambridge
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/16-AOS1493
发表日期:
2016
页码:
1888-1895
关键词:
VARIABLE SELECTION CLASSIFIERS regression CHOICE
摘要:
In this article, I summarise Peter Hall's contributions to high-dimensional data, including their geometric representations and variable selection methods based on ranking. I also discuss his work on classification problems, concluding with some personal reflections on my own interactions with him. This article complements [Ann. Statist. 44 (2016) 1821-1836; Ann. Statist. 44 (2016) 1837-1853; Ann. Statist. 44 (2016) 1854-1866 and Ann. Statist. 44 (2016) 1867-1887], which focus on other aspects of Peter's research.