Discussion of: "A Bayesian information criterion for singular models"
N. Friel, J. P. McKeone, C. J. Oates, A. N. Pettitt
TL;DR
This paper provides a discussion on the Bayesian information criterion tailored for singular models, addressing complexities in model selection within statistical frameworks.
Contribution
It offers insights and critical analysis of Drton and Plummer's Bayesian information criterion for singular models, highlighting its implications and potential improvements.
Findings
Clarifies the applicability of BIC in singular models
Identifies limitations and challenges in current BIC approaches
Suggests directions for future research in model selection
Abstract
Contributed discussion to the paper of Drton and Plummer (2017), presented before the Royal Statistical Society on 5th October 2016.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Bayesian Methods and Mixture Models · Statistical Methods and Inference