Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery
带标签序列数据的分布差异检测:热带气旋卫星图像应用
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…