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Statistics Seminar
Department of Mathematical Sciences

DATE:Thursday, September 23, 2021
TIME:1:15pm – 2:15pm
LOCATION:Zoom meeting
SPEAKER:Shaofei Zhao, Binghamton University
TITLE:Feature selection on tensor response data


We have seen several feature selection approaches for ultrahigh dimensional data recently. However, most of the approaches are applicable for n*1, or at most n*q response variables. If we encounter a more complex data structure when the response is tensor-shaped, e.g. human facial shape, multi-omics gene data, Electroencephalography (EEG), or functional magnetic resonance imaging (fMRI), current feature selection approaches will have difficulty to handle the data. We propose a simple yet useful feature selection method that can be applied to tensor response data, and show the selection consistency of our method.

seminars/stat/210923.txt · Last modified: 2021/09/14 16:05 by qyu