10 citations · 30 across the 25 of their papers we have counts for
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stat.ME2020
A likelihood-based approach for multivariate categorical response regression in high dimensions
Aaron J. Molstad, Adam J. Rothman
We propose a penalized likelihood method to fit the bivariate categorical response regression model. Our method allows practitioners to estimate which predictors are irrelevant, wh…
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…