On monotonicity of regression quantile functions
By Tereza Neocleous, Stephen Portnoy. 2008
47 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/518b46352a40d4c8912273e9907b3085f713caf9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Linda Schulze Waltrup
- Fabian Sobotka
- Goeran Kauermann
- Jungmo Yoon
- Zhongjun Qu
- Yufeng Liu
- Thomas Kneib
- Yichao Wu
In Statistics and Probability
- Yufeng Liu
- Yichao Wu
- Goeran Kauermann
- Linda Schulze Waltrup
- Fabian Sobotka
- Jungmo Yoon
- Zhongjun Qu
- Thomas Kneib
Citations in the corpus
- Nonparametric estimation and inference on conditional quantile processes (2015, methodology): “We use similar arguments as in Neocleous and Portnoy (2008). Consider”
- Stepwise multiple quantile regression estimation using non-crossing constraints (2009, background): “However, as noted by Neocleousa and Portnoy (2007), even for linear regression quantiles, corresponding models can be much more general.”
- Expectile and quantile regression—David and Goliath? (2015, background): “They also gave a good overview about earlier proposals including Koenker (1984), He (1997), Wu and Liu (2009) or Neocleous and Portnoy (2008).”