Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study

José Leites, Vitor Cerqueira, Carlos Soares

Most forecasting methods use recent past observations (lags) to model the future values of univariate time series. Selecting an adequate number of lags is important for training ac…