GLM.hessian()
statsmodels.genmod.generalized_linear_model.GLM.hessian
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GLM.hessian(params, scale=None, observed=True)
[source] -
Hessian, second derivative of loglikelihood function
Parameters: 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.
Returns: hessian : ndarray
Hessian, i.e. observed information, or expected information matrix.
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.genmod.generalized_linear_model.GLM.hessian.html