Posterior Inference for Sparse Hierarchical Non-stationary Models

Karla Monterrubio-Gómez, Lassi Roininen, Sara Wade +2

Gaussian processes are valuable tools for non-parametric modelling, where typically an assumption of stationarity is employed. While removing this assumption can improve prediction…