Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates
Crossref DOI link: https://doi.org/10.1007/s11222-016-9690-x
Published Online: 2016-08-13
Published Print: 2017-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wang, Shanshan
Xiang, Liming
Funding for this research was provided by:
Ministry of Education - Singapore (MOE2013-T2-2-118, RG30/12)
License valid from 2016-08-13