Brittleness of Bayesian inference and new Selberg formulas
نویسندگان
چکیده
منابع مشابه
Brittleness of Bayesian inference and new Selberg formulas
The incorporation of priors [30] in the Optimal Uncertainty Quantification (OUQ) framework [31] reveals brittleness in Bayesian inference; a model may share an arbitrarily large number of finite-dimensional marginals with, or be arbitrarily close (in Prokhorov or total variation metrics) to, the data-generating distribution and still make the largest possible prediction error after conditioning...
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ژورنال
عنوان ژورنال: Communications in Mathematical Sciences
سال: 2016
ISSN: 1539-6746,1945-0796
DOI: 10.4310/cms.2016.v14.n1.a5