Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution

By Dries F. Benoit, Dirk Van den Poel. 2012

119 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/437f575684733a09732b567d9ffbfd711ebf34b1

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

1. Yunwen Yang
2. Huixia Judy Wang
3. Xuming He

In Statistics and Probability

1. Huixia Judy Wang
2. Yunwen Yang
3. Xuming He
4. Ying Wei
5. Damian W. Betebenner
6. Lan Wang
7. Antonio F. Galvao
8. Victor Chernozhukov

Citations in the corpus

• Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood (2016, background): “…2013; Hu et al., 2014), quantile regression with fixed censoring (Yu & Stander, 2007; Kozumi & Kobayashi, 2011; Kobayashi & Kozumi, 2012; Yue & Hong, 2014; Alhamazawi & Yu, 2015; Zhao & Lian, 2015), and binary quantile regression (Benoit & Poel, 2012; Benoit et al., 2013; Miguéis et al., 2013).”