Forecasting Hierarchical Models - Part III

In this third notebook, I extend the hierarchical forecasting model from Part II by adding a neural network component to the state transition function. This creates a Hybrid Deep State-Space Model that combines probabilistic modeling with deep learning. &#xA; Why? This is a personal experiment to explore how to integrate neural networks with hierarchical models. It is not adding complexity for the…