2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2020
Estimating Multiple Precision Matrices with Cluster Fusion Regularization
Bradley S. Price, Aaron J. Molstad, Ben Sherwood
We propose a penalized likelihood framework for estimating multiple precision matrices from different classes. Most existing methods either incorporate no information on relationsh…
stat.AP2020★ 2 cited
A covariance-enhanced approach to multi-tissue joint eQTL mapping with application to transcriptome-wide association studies
Aaron J. Molstad, Wei Sun, Li Hsu
Transcriptome-wide association studies based on genetically predicted gene expression have the potential to identify novel regions associated with various complex traits. It has be…
stat.ML2016
A penalized likelihood method for classification with matrix-valued predictors
Aaron J. Molstad, Adam J. Rothman
We propose a penalized likelihood method to fit the linear discriminant analysis model when the predictor is matrix valued. We simultaneously estimate the means and the precision m…