Inequality constrained quantile regression
By Roger W. Koenker, Pin T. Ng. 2005
124 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/42e76f1cabaec6d39937465286ece8c9a40e0f6d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Zhongjun Qu
- Marco Corazza
- Jungmo Yoon
- M. Maechler
- Claudio E. A. Pizzi
- Pin T. Ng
- Alexander Aue
- Tatsushi Oka
Citations in the corpus
- A fast and efficient implementation of qualitatively constrained quantile smoothing splines (2007, methodology): “Readers are referred to Koenker and Ng (2005a, 2005b) for the details.”
- Nonparametric estimation and inference on conditional quantile processes (2015, methodology): “Second, the optimization can be written as a linear programing problem with linear inequality constraints and can be solved using the algorithm in Koenker and Ng (2005) without essential modi cation.”
- Mathematical and Statistical Methods for Actuarial Sciences and Finance (2014, methodology): “Rundmo [20] pointed out how the possibility of workplace injuries is linked to the perception of risk frequency and exposure.”