Bayesian analysis for quantile smoothing spline
In Bayesian quantile smoothing spline [Thompson, P., Cai, Y., Moyeed, R., Reeve, D., & Stander, J. (2010). Bayesian nonparametric quantile regression using splines. Computational Statistics and Data Analysis, 54, 1138–1150.], a fixed-scale parameter in the asymmetric Laplace likelihood tends to...
Main Authors: | Zhongheng Cai, Dongchu Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-10-01
|
Series: | Statistical Theory and Related Fields |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/24754269.2021.1946372 |
Similar Items
-
Simulation Study The Using of Bayesian Quantile Regression in Nonnormal Error
by: Catrin Muharisa, et al.
Published: (2018-12-01) -
bayesQR: A Bayesian Approach to Quantile Regression
by: Dries F. Benoit, et al.
Published: (2017-01-01) -
Two-layer EM algorithm for ALD mixture regression models: A new solution to composite quantile regression
by: Wang, Shangshan, et al.
Published: (2017) -
Modeling Length of Hospital Stay for Patients With COVID-19 in West Sumatra Using Quantile Regression Approach
by: Ferra Yanuar, et al.
Published: (2021-11-01) -
qgam: Bayesian Nonparametric Quantile Regression Modeling in R
by: Matteo Fasiolo, et al.
Published: (2021-11-01)