Posterior predictive checks: Principles and discussion

Johannes Berkhof*, Iven Van Mechelen, Herbert Hoijtink

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


In this paper, we give a description of posterior predictive checking (introduced by Rubin, 1984) for detecting departures between the data and the posited model and illustrate how the posterior predictive check can be used in practice. We further discuss interpretability, frequency properties, and prior sensitivity of the posterior predictive p-value.

Original languageEnglish
Pages (from-to)337-354
Number of pages18
JournalComputational Statistics
Issue number3
Publication statusPublished - 2000

Cite this