TL;DR
This paper is a rejoinder to a previous work on calibrated Bayesian methods, addressing critiques and clarifying the approach to statistical inference and missing data.
Contribution
It provides a detailed response to critiques of the calibrated Bayesian framework, clarifying its principles and defending its applicability.
Findings
Clarifies the principles of calibrated Bayesian methods
Addresses critiques of Bayesian approaches to missing data
Reinforces the validity of the calibrated Bayesian framework
Abstract
Rejoinder of "Calibrated Bayes, for Statistics in General, and Missing Data in Particular" by R. Little [arXiv:1108.1917]
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