Tag: intermittent

Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood arXiv:2502.19086v1 Announce Type: new Abstract: We introduce the use of Gaussian Processes (GPs) for the probabilistic forecasting of intermittent time series. The model is trained in a Bayesian framework that accounts for the uncertainty about the latent function and marginalizes it out when making predictions.…