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 containing the ACF values.
- Return type:
array-like