94aef38441efa3380a3bed3faf1f9d5d-Paper.pdf

In this work, we propose a Bayesian formulation of deconditioning which naturally recovers the initial reproducing kernel Hilbert space formulation from Hsu and Ramos[1]. We extend deconditioning to a downscaling setup and devise efficient conditional mean embedding estimator for multiresolution data.