Tom Sprunck

Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements

Modern imaging techniques heavily rely on Bayesian statistical models to address difficult image reconstruction and restoration tasks. This paper addresses the objective evaluation of such models in settings where ground truth is unavailable, with a focus on model selection and misspecification diag…