Overview
An auto-regressive model is one where the time series today is a linear combination of past values of the series added to a random innovation.
{% X_t = Z_t + \phi_1 X_{t-1} + ... + \phi_p X_{t-p} %}
where
{% Z_t \sim WN(0, \sigma^2) %}