Forecasting, Challenges, and Python Implementation
In the context of autoregressive (AR) models, the coefficients represent the weights assigned to the lagged values of the time series to predict the current value. These coefficients capture the relationship between the current observation and its past values. The goal is to find the coefficients that best fit the historical data, allowing the model … Read more