2 papers
stat.ME2019
Interpretable Principal Components Analysis for Multilevel Multivariate Functional Data, with Application to EEG Experiments
Jun Zhang, Greg J Siegle, Wendy D'Andrea +1
Many studies collect functional data from multiple subjects that have both multilevel and multivariate structures. An example of such data comes from popular neuroscience experimen…
stat.ME2018
Incorporating Prior Information with Fused Sparse Group Lasso: Application to Prediction of Clinical Measures from Neuroimages
Joanne C. Beer, Howard J. Aizenstein, Stewart J. Anderson +1
Predicting clinical variables from whole-brain neuroimages is a high dimensional problem that requires some type of feature selection or extraction. Penalized regression is a popul…