Quantile Regression
摘要
Quantile regression is an extension of linear regression that allows researchers to estimate the conditional quantiles of a response variable given a set of predictor variables. Unlike linear regression, which focuses on estimating the conditional mean of the response variable, quantile regression provides a more comprehensive understanding of the relationship between the response and predictor variables across different quantiles.