statsmodels.regression.linear_model.burg

statsmodels.regression.linear_model.burg(endog, order=1, demean=True)[source]

Burg’s AP(p) parameter estimator

Parameters
endogarray-like

The endogenous variable

orderint, optional

Order of the AR. Default is 1.

demeanbool, optional

Flag indicating to subtract the mean from endog before estimation

Returns
rhondarray

AR(p) coefficients computed using Burg’s algorithm

sigma2float

Estimate of the residual variance

Notes

AR model estimated includes a constant estimated using the sample mean. This value is not reported.

References

1

Brockwell, P.J. and Davis, R.A., 2016. Introduction to time series and forecasting. Springer.