Approximate Laplace Approximations for Scalable Model Selection

DOI10.1111/rssb.12466OpenAlexW3199916448WikidataQ114078135 ScholiaQ114078135MaRDI QIDQ5087419

Oriol Abril, David Rossell, Anirban Bhattacharya

Publication date: 11 July 2022

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2012.07429

zbMATH Keywords

model selectionapproximate inferencemodel misspecificationnon-local priorsnon-parametric regressionhierarchical constraintsgroup constraints

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Additive Bayesian variable selection under censoring and misspecification, mombf

Uses Software

• R