3 papers
stat.ME2025
Graph-based Square-Root Estimation for Sparse Linear Regression
Peili Li, Zhuomei Li, Yunhai Xiao +2
Sparse linear regression is one of the classic problems in the field of statistics, which has deep connections and high intersections with optimization, computation, and machine le…
stat.ME2025
A Primal Dual Active Set with Continuation Algorithm for -Penalized High-dimensional Accelerated Failure Time Model
Peili Li, Ruoying Hu, Yanyun Ding +1
The accelerated failure time model has garnered attention due to its intuitive linear regression interpretation and has been successfully applied in fields such as biostatistics, c…
stat.ML2024
Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty
Yanyun Ding, Zhenghua Yao, Peili Li +1
The elastic net penalty is frequently employed in high-dimensional statistics for parameter regression and variable selection. It is particularly beneficial compared to lasso when…