Bayesian composite quantile regression for the single-index model.

oleh: Xiaohui Yuan, Xuefei Xiang, Xinran Zhang

Format: Article
Diterbitkan: Public Library of Science (PLoS) 2023-01-01

Deskripsi

By using a Gaussian process prior and a location-scale mixture representation of the asymmetric Laplace distribution, we develop a Bayesian analysis for the composite quantile single-index regression model. The posterior distributions for the unknown parameters are derived, and the Markov chain Monte Carlo sampling algorithms are also given. The proposed method is illustrated by three simulation examples and a real dataset.