New model captures dynamic behavior of time series processes accurately.
The Generalized Structural Time Series Model aims to better capture how distribution parameters change over time in data. By using this model, researchers can now model highly skewed and kurtotic distributions more effectively. They have developed a new method to update these parameters quickly without needing complex simulations.
