Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors

François Monard, Richard Nickl, Gabriel P. Paternain

Bayesian inference and uncertainty quantification in a general class of non-linear inverse regression models is considered. Analytic conditions on the regression model $\{\mathscr…