Quantile regression (QR) provides estimates of a range of conditional quantiles. This stands in contrast to traditional regression techniques, which focus on a single conditional mean function. Lee et
This article studies a time series quantile regression kink model with an unknown threshold over certain quantile levels in the distribution. We propose to estimate the threshold parameter and regress
For many applications, it is valuable to assess whether the effects of exposures over time vary by quantiles of the outcome. We have previously shown that quantile methods complement the traditional m
Sustainable agricultural economic development is the core task for achieving the objective of rural revitalization strategy in China, which cannot be separated from the support and guidance of fiscal
In this paper, we consider the estimation problem of a tree model for multiple conditional quantile functions of the response. Using the GUIDE algorithm, the quantile regression tree (QRT) method has
