Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5129574 | Journal of Statistical Planning and Inference | 2017 | 9 Pages |
Abstract
The Dantzig selector for the proportional hazards model proposed by D.R. Cox is studied in a high-dimensional and sparse setting. We prove the lq consistency for all qâ[1,â] of some estimators based on the compatibility factor, the weak cone invertibility factor, and the restricted eigenvalue for certain deterministic matrix which approximates the Hessian matrix of log partial likelihood. Our matrix conditions for these factors are weaker than those of previous researches.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Kou Fujimori, Yoichi Nishiyama,