statsmodels.tsa.innovations.arma_innovations.arma_loglikeobs#
- statsmodels.tsa.innovations.arma_innovations.arma_loglikeobs(endog, ar_params=None, ma_params=None, sigma2=1, prefix=None)[source]#
Compute the log-likelihood for each observation assuming an ARMA process
- Parameters:
- endog
ndarray The observed time-series process.
- ar_params
ndarray,optional Autoregressive parameters.
- ma_params
ndarray,optional Moving average parameters.
- sigma2
ndarray,optional The ARMA innovation variance. Default is 1.
- prefix
str,optional The BLAS prefix associated with the datatype. Default is to find the best datatype based on given input. This argument is typically only used internally.
- endog
- Returns:
ndarrayArray of loglikelihood values for each observation.