pysteps.timeseries.autoregression.ar_acf¶
-
pysteps.timeseries.autoregression.
ar_acf
(gamma, n=None)¶ Compute theoretical autocorrelation function (ACF) from the AR(p) model with lag-l, l=1,2,…,p temporal autocorrelation coefficients.
- Parameters
- gamma: array-like
Array of length p containing the lag-l, l=1,2,…p, temporal autocorrelation coefficients. The correlation coefficients are assumed to be in ascending order with respect to time lag.
- n: int
Desired length of ACF array. Must be greater than len(gamma).
- Returns
- out: array-like
Array containing the ACF values.