Rejoinder for the discussion of the paper "A novel algorithmic approach to Bayesian Logic Regression"

Abstract

In this rejoinder we summarize the comments, questions and remarks on the paper "A novel algorithmic approach to Bayesian Logic Regression" from the discussants. We then respond to those comments, questions and remarks, provide several extensions of the original model and give a tutorial on our R-package EMJMCMC (http://aliaksah.github.io/EMJMCMC2016/)

published in Bayesian Analysis, Volume 15, Number 1 (2020)

References in corpus (2)

• Criteria for Bayesian model choice with application to variable selection
• Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA)