Bayesian Linear Inverse Problems in Regularity Scales with Discrete Observations
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We obtain rates of contraction of posterior distributions in inverse problems with discrete observations. In a general setting of smoothness scales we derive abstract results for general priors, with contraction rates determined by discrete Galerkin approximat... ...
