Bayesian model selection: application to the adjustment of fundamental physical constants
From MaRDI portal
Publication:6179119
DOI10.1214/22-AOAS1710arXiv2104.01977OpenAlexW3164971840MaRDI QIDQ6179119
Publication date: 16 January 2024
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2104.01977
intrinsic Bayes factorreference priormeta-analysisrandom-effects modellocation-scale modelNewtonian constant of gravitationBirge ratio methodinterlaboratory comparison study
Cites Work
- Unnamed Item
- Unnamed Item
- Analytical derivation of the reference prior by sequential maximization of Shannon's mutual information in the multi-group parameter case
- Objective Bayesian inference for a generalized marginal random effects model
- The formal definition of reference priors
- Modeling expert judgements for Bayesian updating
- Fusion learning for inter-laboratory comparisons
- Partial information reference priors: Derivation and interpretations
- Reference priors for the general location-scale model
- The Intrinsic Bayes Factor for Model Selection and Prediction
- Science and Statistics
- The Calculation of Errors by the Method of Least Squares
- Mixed-Effects Models in S and S-PLUS
- Computational Statistics
- Bayes Factors
- Applied Statistical Inference
- Estimating Heterogeneity Variance in Meta-Analysis
- An invariant form for the prior probability in estimation problems
This page was built for publication: Bayesian model selection: application to the adjustment of fundamental physical constants