Lennard Rompelberg

A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals

We present a Bayesian perspective on quantifying the uncertainty of graph signals estimated or reconstructed from imperfect observations. We show that many conventional methods of graph signal estimation, reconstruction and imputation, can be reinterpreted as finding the mean of a posterior Gaussian…