Time Series Forecasting, Bayesian Machine Learning.
important difference between in-sample ARIMA predictions and those made with Pybats: In ARIMA, the in-sample predictions are practically quite useless. They reflect how well the estimated parameters fit the data, and to this end you can very easily over-fit the data simply by over parameterizing