hessian(params, scale=None, observed=True)¶
Hessian, second derivative of loglikelihood function
params : ndarray
parameter at which Hessian is evaluated
scale : None or float
If scale is None, then the default scale will be calculated. Default scale is defined by self.scaletype and set in fit. If scale is not None, then it is used as a fixed scale.
observed : bool
If True, then the observed Hessian is returned. If false then the expected information matrix is returned.
hessian : ndarray
Hessian, i.e. observed information, or expected information matrix.