5 citations · 11 across the 7 of their papers we have counts for
3 papers · 1 filter
High-dimensional Fused Lasso Regression using Majorization-Minimization and Parallel Processing
Donghyeon Yu, Joong-Ho Won, Taehoon Lee +2
In this paper, we propose a majorization-minimization (MM) algorithm for high-dimensional fused lasso regression (FLR) suitable for parallelization using graphics processing units…
Monotone false discovery rate
Joong-Ho Won, Johan Lim, Donghyeon Yu +2
This paper proposes a procedure to obtain monotone estimates of both the local and the tail false discovery rates that arise in large-scale multiple testing. The proposed monotoniz…
Regression shrinkage and grouping of highly correlated predictors with HORSES
Woncheol Jang, Johan Lim, Nicole A. Lazar +2
Identifying homogeneous subgroups of variables can be challenging in high dimensional data analysis with highly correlated predictors. We propose a new method called Hexagonal Oper…