On Bayesian quantile regression using a pseudo-joint asymmetric Laplace likelihood
From MaRDI portal
Publication:288264
DOI10.1007/s13171-015-0079-2zbMath1341.62206OpenAlexW2211149865MaRDI QIDQ288264
Pulak Ghosh, Karthik Sriram, R. V. Ramamoorthi
Publication date: 25 May 2016
Published in: Sankhyā. Series A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13171-015-0079-2
Bayesian problems; characterization of Bayes procedures (62C10) General nonlinear regression (62J02)
Related Items (5)
Estimation of linear composite quantile regression using EM algorithm ⋮ Bayesian quantile regression using the skew exponential power distribution ⋮ Bayesian joint-quantile regression ⋮ A Bayesian Approach to Multiple-Output Quantile Regression ⋮ Bayesian multiple quantile regression for linear models using a score likelihood
Cites Work
- Unnamed Item
- On posterior concentration in misspecified models
- Stepwise multiple quantile regression estimation using non-crossing constraints
- Bayesian empirical likelihood for quantile regression
- Bayesian inference for additive mixed quantile regression models
- A note on L-estimates for linear models
- Posterior consistency of Gaussian process prior for nonparametric binary regression
- Posterior consistency of Bayesian quantile regression based on the misspecified asymmetric Laplace density
- Composite quantile regression and the oracle model selection theory
- Convergence rates of posterior distributions for non iid observations
- Bayesian nonparametrics
- The Bernstein-von Mises theorem under misspecification
- Simultaneous linear quantile regression: a semiparametric Bayesian approach
- Quantile and Probability Curves Without Crossing
- Non-Crossing Non-Parametric Estimates of Quantile Curves
- Regression Quantiles
- Approximate Bayesian inference for quantiles
- Bayesian Spatial Quantile Regression
- A Bayesian Nonparametric Approach to Inference for Quantile Regression
- Bayesian quantile regression
This page was built for publication: On Bayesian quantile regression using a pseudo-joint asymmetric Laplace likelihood