A Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference.
Mukhopadhyay, S. and Fletcher, D., 2018. "Bayesian Modeling via Goodness-of-Fit," Technical report, https://arxiv.org/abs/1802.00474 .