Empirical Performance of Cross-Validation With Oracle Methods in a Genomics Context

DOI10.1198/tas.2011.11052OpenAlexW1989376243WikidataQ35762290 ScholiaQ35762290MaRDI QIDQ5885319

Samuel Müller, Joshua N. Sampson, Nilanjan Chatterjee, Josue G. Martinez, Raymond J. Carroll

Publication date: 3 April 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/tas.2011.11052

zbMATH Keywords

model selectionLassoadaptive Lassooracle estimation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Robust sparse regression and tuning parameter selection via the efficient bootstrap information criteria ⋮ A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery

This page was built for publication: Empirical Performance of Cross-Validation With Oracle Methods in a Genomics Context