A new framework for non-stationary spatio-temporal data fusion of multi-fidelity models

Pietro Colombo, Fabio Sigrist, Claire Miller +3

We propose a new scalable framework for spatio-temporal data fusion with multi-fidelity Gaussian processes (MFGPs) that enables fully likelihood-based inference for both stationary…