If we have a stationary time series and we want to model it as an AR(p) process, what conditions must hold besides the stationarity itself?
Are they the same a the assumptions for linear regression:
- Linear relationship (this one seems obvious)
- Gaussian errors
- No collinearity
- Homoscedasticity (I suppose this is covered by the stationarity requirement anyway?)