Semiparametric Bayesian inference for regression models

DOI10.2307/3316127zbMath0959.62036OpenAlexW2117821421MaRDI QIDQ4488788

Martin A. Tanner, Yodit Seifu, Thomas A. Severini

Publication date: 2 May 2001

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/8bcd35babd098114b4e5e225998949276cd7eb89

zbMATH Keywords

regression parametersMetropolis algorithmkernel density estimate

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Bayesian inference (62F15)

Related Items (2)

APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001 ⋮ Construction of credible intervals for nonlinear regression models with unknown error distributions

Cites Work

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• On the consistency of Bayes estimates
• On inconsistent Bayes estimates of location
• Inference from iterative simulation using multiple sequences
• A Brief Survey of Bandwidth Selection for Density Estimation
• Necessary Analysis and Adaptive Inference
• Pivotal Models and the Fiducial Argument
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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