Ismaël Castillo studied nonparametric Bernstein-von Mises theorems with Richard Nickl. In the Gaussian white noise model, they constructed Bayesian credible sets with asymptotically exact frequentist coverage under stated assumptions. Their analysis also treats functionals, illustrating how an infinite-dimensional unknown function can still yield well-calibrated inference for particular observable quantities.[ref]
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