Time Series Forecasting, Bayesian Machine Learning.
through the series. Therefore, each step-ahead is actually a true “out-of-sample prediction”, and thus there error from the prediction reflects true out-of-sample estimates based on the posterior probabilities. For ARIMA to do this, you would need to specify a hold-out sample at the end of your