College of Mathematical and Statistics, Sichuan University of Science and Engineering, Zigong, China. In past studies, quantile regression and expectile regression have established a solid theoretical ...

The kernel_quantile_regression package is an open source implementation of the quantile regressor technique introduced in [1]. This repo contains the code for reproducing the research paper ...

Recentered influence function (RIF) regressions estimate the effects of small location shifts in continuous explanatory variables on a distributional statistic (e.g., quantile, variance or Gini ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...

School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa Background: Malnutrition remains one of the most pressing health challenges, ...