Quantile regression: applications and current research areas

Keming Yu, Zudi Lu, Julian Stander

Journal of the Royal Statistical Society Series D (The Statistician) · 2003 · 684 citations · 37 references

Concepts

Abstract

Summary. Quantile regression offers a more complete statistical model than mean regression and now has widespread applications. Consequently, we provide a review of this technique. We begin with an introduction to and motivation for quantile regression. We then discuss some typical application areas. Next we outline various approaches to estimation. We finish by briefly summarizing some recent research areas.

References

37