Calibrated Bayes, an alternative inferential paradigm for official statistics

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Patterns and causes of uncertainty in the American Community Survey (2014, methodology): “Innovations in methodology are a relatively inexpensive way to improve the survey (see Ghosh & Rao, 1994; Little, 2012).”
Beyond subjective and objective in statistics (2015, background): “…problems such as overconﬁdence (Alpert and Raiﬀa, 1984, Erev, Wallsten, and Budescu, 1994), which motivates eﬀorts to check and calibrate Bayesian models (Rubin, 1984, Little, 2012) and to situate Bayesian inference within an error-statistical philosophy (Mayo, 1996, Gelman and Shalizi, 2013).”