statsmodels.tsa.innovations.arma_innovations.arma_loglike

statsmodels.tsa.innovations.arma_innovations.arma_loglike(endog, ar_params=None, ma_params=None, sigma2=1, prefix=None)

Compute the log-likelihood of the given data assuming an ARMA process

Parameters:

endogndarray

The observed time-series process.

ar_paramsndarray, optional

Autoregressive parameters.

ma_paramsndarray, optional

Moving average parameters.

sigma2ndarray, optional

The ARMA innovation variance. Default is 1.

prefixstr, 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.

Returns:

float

The joint loglikelihood.