Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery. (arXiv:2202.02253v3 [stat.AP] UPDATED)

Our goal is to quantify whether, and if so how, spatio-temporal patterns in
tropical cyclone (TC) satellite imagery signal an upcoming rapid intensity
change event. To address this question, we propose a new nonparametric test of
association between a time series of images and a series of binary event
labels. We ask whether there is a difference in distribution between (dependent
but identically distributed) 24-h sequences of images preceding an event versus
a non-event. By rewriting the statistical test as …

application arxiv data satellite