Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood

Stefano Damato, Dario Azzimonti, Giorgio Corani

We adopt Gaussian Processes (GPs) as latent functions for probabilistic forecasting of intermittent time series. The model is trained in a Bayesian framework that accounts for the…