A partially collapsed Gibbs sampler for Bayesian quantile regression
By Craig Reed, Keming Yu. 2009
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View Paper: https://www.semanticscholar.org/paper/7494e1a43431fd5641f76275f8cb76304fd05586
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Citations in the corpus
- Bayesian Quantile Regression for Ordinal Models (2016, methodology): “…and d’Orey 1987), and the interior point algorithm (Karmarkar 1984; Mehrotra 1992; Portnoy and Koenker 1997), whereas Bayesian methods relying on Markov chain Monte Carlo (MCMC) sampling have been proposed in Yu and Moyeed (2001), Tsionas (2003), Reed and Yu (2009), and Kozumi and Kobayashi (2011).”