RecursiveLS.opg_information_matrix()

statsmodels.regression.recursive_ls.RecursiveLS.opg_information_matrix

RecursiveLS.opg_information_matrix(params, transformed=True, approx_complex_step=None, **kwargs)

Outer product of gradients information matrix

Parameters:

params : array_like, optional

Array of parameters at which to evaluate the loglikelihood function.

**kwargs

Additional arguments to the loglikeobs method.

References

Berndt, Ernst R., Bronwyn Hall, Robert Hall, and Jerry Hausman. 1974. Estimation and Inference in Nonlinear Structural Models. NBER Chapters. National Bureau of Economic Research, Inc.

© 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.regression.recursive_ls.RecursiveLS.opg_information_matrix.html

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