Quantile regression: applications and current research areas
By Keming Yu, Zudi Lu, Julian Stander. 2003
735 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d5a365f95ccfae728fde56db5134ef731593f2c9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Ji Zhu
- Youjuan Li
- Wolfgang Karl Härdle
- Song Song
- Weining Wang
- Yufeng Liu
- Lining Yu
- Stanislav Volgushev
In Statistics and Probability
- Weining Wang
- Athanasios Kottas
- Wolfgang Karl Härdle
- Keming Yu
- Milovan Krnjajic
- Stanislav Volgushev
- Lining Yu
- Youjuan Li
Citations in the corpus
- Bayesian quantile regression for ordinal longitudinal data (2016, background): “It belongs to a robust model family, which can provide a more complete picture of the predictor effects at different quantile levels of the response variable rather than focusing solely on the center of the distribution [51,52].”
- Modeling tropical cyclone intensity with quantile regression (2009, background): “If the model fits well, a plot of fitted versus actual values will show that τ percentage of observed values should be less than the fitted values, with 1 − τ percentage of the observed values greater than that of the fitted values (Yu et al., 2003).”
- A partially collapsed Gibbs sampler for Bayesian quantile regression (2009, neutral): “For more details we refer the interested reader to Koenker and Hallock (2004) and Yu et al. (2003).”
- Quantile Regression in Reproducing Kernel Hilbert Spaces (2007, methodology): “For comprehensive reviews of quantile regression, see the articles by Koenker and Hallock (2001) and Yu, Lu, and Stander (2003), as well as the exceptionally wellwritten book by Koenker (2005).”
- A Three-Parameter Asymmetric Laplace Distribution and Its Extension (2005, background): “This important feature of ALD has been generally adopted for quantile inference (Yu et al., 2003) and made it more popular than other asymmetric Laplace distributions.”
- Twitter's Glass Ceiling: The Effect of Perceived Gender on Online Visibility (2016, background): “When accounts are verified a badge appears next to the user’s name on their profile (Marwick and others 2011). anced patterns (Yu, Lu, and Stander 2003).”