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Extensions of stability selection using subsamples of observations and covariates

  • We introduce extensions of stability selection, a method to stabilise variable selection methods introduced by Meinshausen and Buhlmann (J R Stat Soc 72:417-473, 2010). We propose to apply a base selection method repeatedly to random subsamples of observations and subsets of covariates under scrutiny, and to select covariates based on their selection frequency. We analyse the effects and benefits of these extensions. Our analysis generalizes the theoretical results of Meinshausen and Buhlmann (J R Stat Soc 72:417-473, 2010) from the case of half-samples to subsamples of arbitrary size. We study, in a theoretical manner, the effect of taking random covariate subsets using a simplified score model. Finally we validate these extensions on numerical experiments on both synthetic and real datasets, and compare the obtained results in detail to the original stability selection method.

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Metadaten
Author details:Andre BeinruckerGND, Urun Dogan, Gilles BlanchardGND
DOI:https://doi.org/10.1007/s11222-015-9589-y
ISSN:0960-3174
ISSN:1573-1375
Title of parent work (English):Statistics and Computing
Publisher:Springer
Place of publishing:Dordrecht
Publication type:Article
Language:English
Year of first publication:2016
Publication year:2016
Release date:2020/03/22
Tag:Stability selection; Subsampling; Variable selection
Volume:26
Number of pages:19
First page:1059
Last Page:1077
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik
Peer review:Referiert
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