statsmodels.tsa.statespace.mlemodel.MLEModel.hessian¶
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MLEModel.
hessian
(params, *args, **kwargs)[source]¶ Hessian matrix of the likelihood function, evaluated at the given parameters
Parameters: params : array_like
Array of parameters at which to evaluate the hessian.
args
Additional positional arguments to the loglike method.
kwargs
Additional keyword arguments to the loglike method.
Returns: hessian : array
Hessian matrix evaluated at params
Notes
This is a numerical approximation.
Both *args and **kwargs are necessary because the optimizer from fit must call this function and only supports passing arguments via *args (for example scipy.optimize.fmin_l_bfgs).