Segmented quantile regression process with tau-varying breakpoints

Abstract

We introduce the Segmented Quantile Regression Process framework to model the entire quantile region of the conditional response distributions as a segmented relationship with respect to the continuous covariate. Each model parameter, including the breakpoint, is assumed to vary smoothly across the tau. The framework is illustrated on the well-known dataset about maximal running speed and weight in mammals.