quantileregression

Quantile regression expresses the conditional quantiles of a dependent variable as a linear function of the explanatory variables. Crucial to the practicality ...

分位數迴歸（英語：Quantile regression）是迴歸分析的方法之一。最早由Roger Koenker和Gilbert Bassett於1978年提出。 一般地，傳統的迴歸分析研究自變數與應變數的 ...

Quantile regression estimates on socio economic determinants of nutrition intakes have become very popular in recent studies.

由 E Waldmann 著作 · 2018 · 被引用 121 次 — Abstract: Quantile regression quantifies the association of explanatory variables with a conditional quantile of a dependent variable without assuming any ...

A quantile regression model is used to estimate various quantile points in the data set such as the median, the 0.25-quantile point, the 0.95-quantile point ...

由 Y Wu 著作 · 2009 · 被引用 516 次 — In this work, we focus on the variable se- lection aspect of penalized quantile regression. Under some mild conditions, we demonstrate the oracle properties of ...