This talk introduces a nonparametric framework for analyzing physiological sensor data collected from wearable devices. The idea is to apply the stochastic process notion of occupation times to construct activity profiles that can be treated as monotonically decreasing functional data. Whereas raw sensor data typically need to be pre-aligned bef...
Creator:
McKeague, Ian (Columbia University)
Created:
2019-09-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
