where: - \( X_t \) is the value at time t. - \( c \) is a constant. - \( \phi_i \) are the coefficients. - \( \epsilon_t \) is the error term.
In the context of epidemiological data, \( X_t \) could represent the number of new cases at time t, and the model would use past values of new cases to predict future values.
