most citedRegularization Parameter Selection for a Bayesian Multi-Level Group Lasso Regression Model with Application to Imaging Genomics

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

stat.ME2016

A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genetics

Keelin Greenlaw, Elena Szefer, Jinko Graham +2

Motivation: Recent advances in technology for brain imaging and high-throughput genotyping have motivated studies examining the influence of genetic variation on brain structure. W…

stat.ML2016★ 2 cited

Regularization Parameter Selection for a Bayesian Multi-Level Group Lasso Regression Model with Application to Imaging Genomics

Farouk S. Nathoo, Keelin Greenlaw, Mary Lesperance

We investigate the choice of tuning parameters for a Bayesian multi-level group lasso model developed for the joint analysis of neuroimaging and genetic data. The regression model…