10 citations · 30 across the 25 of their papers we have counts for
4 papers · 2 filters
A Convex-Nonconvex Strategy for Grouped Variable Selection
Xiaoqian Liu, Aaron J. Molstad, Eric C. Chi
This paper deals with the grouped variable selection problem. A widely used strategy is to augment the negative log-likelihood function with a sparsity-promoting penalty. Existing…
Dimension reduction for integrative survival analysis
Aaron J. Molstad, Rohit K. Patra
We propose a constrained maximum partial likelihood estimator for dimension reduction in integrative (e.g., pan-cancer) survival analysis with high-dimensional covariates. We assum…
Scalable algorithms for semiparametric accelerated failure time models in high dimensions
Piotr M. Suder, Aaron J. Molstad
Semiparametric accelerated failure time (AFT) models are a useful alternative to Cox proportional hazards models, especially when the assumption of constant hazard ratios is untena…
Mixed-type multivariate response regression with covariance estimation
Karl Oskar Ekvall, Aaron J. Molstad
We propose a new method for multivariate response regression and covariance estimation when elements of the response vector are of mixed types, for example some continuous and some…