Random tree Besov priors: Data-driven regularisation parameter selection

Hanne Kekkonen, Andreas Tataris

We develop a data-driven algorithm for automatically selecting the regularisation parameter in Bayesian inversion under random tree Besov priors. One of the key challenges in Bayes…