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Posterior contraction rates in Sobolev norms and Bayesian derivative estimation for infinite-dimensional exponential families
We study posterior contraction in positive-order Sobolev norms and Bayesian derivative estimation for infinite-dimensional exponential families. We embed the natural parameter in a Hilbert scale and model it via a Gaussian series prior expanded in the eigenbasis generating the scale. Under a two-sid
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