Modeling and Forecasting Influenza Outbreaks: A Robust Laplace-ARDL Framework vs. Deep Learning LSTM for Epidemiological Surveillance
Empirical evidence is provided that it is vital to solve the leptokurtic distribution in infection data for obtaining stable forecasts and a new model called Robust Laplace-ARDL is proposed, which uses a Double Exponential (Laplace) distribution instead of the standard normal distribution to accommodate heavy-tailed di...