How to address false discovery bias in big data using model-X knockoffs for variable selection

Zhou, Jing ORCID: https://orcid.org/0000-0002-8894-9100 and Scherr, Sebastian (2024) How to address false discovery bias in big data using model-X knockoffs for variable selection. In: 107th AEJMC Conference, 2024-08-08 - 2024-08-11. (In Press)

PDF (Manuscript) - Accepted Version Restricted to Repository staff only until 31 December 2099. Request a copy

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	communication ,/dk/atira/pure/subjectarea/asjc/3300/3315
Faculty \ School:	Faculty of Science > School of Mathematics (former - to 2024)
UEA Research Groups:	Faculty of Science > Research Groups > Numerical Simulation, Statistics & Data Science
Depositing User:	LivePure Connector
Date Deposited:	23 May 2024 08:30
Last Modified:	07 Nov 2024 12:32
URI:	https://ueaeprints.uea.ac.uk/id/eprint/95289
DOI:

Actions (login required)

View Item