ABSTRACT
This chapter provides a review of some statistical concepts and mathematical background for a new type of behavioral analyses amenable to understanding the stochastic properties of biophysical rhythms harnessed from the human nervous systems. The proposed methods are part of a broader statistical platform for individualized behavioral analysis that makes no a priori assumptions about the inherent variability of the biophysical data. Further, some recommendations are provided on general strategies to derive personalized biometrics and to handle big data using new data types arising from wearable sensors useful to implement contemporary mobile-health concepts.
