Comment.

The authors discuss the statistical methodology called experiments-based interpolation technique (DoIt), which they consider to become critical in approximate Bayesian inference. They compare DoIt with variational Bayes (VB) in the areas including convenience, implementability, and flexibility and mention the advantage of VB over DoIt in terms of implementability. They add that DoIt needs various multidimensional constrained optimizations and tuning in longitudinal data analysis.