On Computationally-Scalable Spatio-Temporal Regression Clustering of Precipitation Threshold Excesses
降水阈值超额的可扩展时空回归聚类
Focusing on regression based analysis of extremes in a presence of systematically missing covariates, this work presents a data-driven spatio-temporal regression based clustering of threshold excesses. It is shown that in a presence of systematically missing covariates the behavior of threshold excesses becomes nonstationary and nonhomogenous. The presented approach describes this complex behavior by a set of local stationary Generalized Pareto Distribution (GPD) models,…