Time Series Forecasting, Bayesian Machine Learning.
percentage error) for each model, and determine which model is more accurate in the one-step-ahead forecasts. In this case we examined the predictions for the previous 12 months and compared the MAPE. For the multivariate model we achieved a MAPE of ~20%, while the univariate model achieved a MAPE