statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.loglike¶
- ExponentialSmoothing.loglike(params, *args, **kwargs)[source]¶
Loglikelihood evaluation
- Parameters:
- paramsarray_like
Array of parameters at which to evaluate the loglikelihood function.
- transformedbool,
optional
Whether or not params is already transformed. Default is True.
- **kwargs
Additional keyword arguments to pass to the Kalman filter. See KalmanFilter.filter for more details.
See also
update
modifies the internal state of the state space model to reflect new params
Notes
[1] recommend maximizing the average likelihood to avoid scale issues; this is done automatically by the base Model fit method.
References
[1]Koopman, Siem Jan, Neil Shephard, and Jurgen A. Doornik. 1999. Statistical Algorithms for Models in State Space Using SsfPack 2.2. Econometrics Journal 2 (1): 107-60. doi:10.1111/1368-423X.00023.