19 citations · 45 across the 11 of their papers we have counts for
3 papers · 1 filter
Analysis of Relaxation Methods for Feature Selection in Mixed Effects Models
Aleksandr Aravkin, James Burke, Aleksei Sholokhov +1
Linear Mixed-Effects (LME) models are a fundamental tool for modeling clustered data, including cohort studies, longitudinal data analysis, and meta-analysis. The design and analys…
A Relaxation Approach to Feature Selection for Linear Mixed Effects Models
Aleksei Sholokhov, James V. Burke, Damian F. Santomauro +2
Linear Mixed-Effects (LME) models are a fundamental tool for modeling correlated data, including cohort studies, longitudinal data analysis, and meta-analysis. Design and analysis…
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
Peng Zheng, Ryan Barber, Reed J. D. Sorensen +2
Mixed effects (ME) models inform a vast array of problems in the physical and social sciences, and are pervasive in meta-analysis. We consider ME models where the random effects co…