New criteria identify oscillatory autoregressive models, impacting forecasting accuracy and stability.
The article discusses how to tell if certain mathematical models are constantly changing or not. The researchers found new ways to figure out if these models will keep changing or eventually settle down. They also expanded these methods to work for more complex models with multiple dimensions.
