statsmodels.regression.recursive_ls.RecursiveLS.transform_jacobian¶

RecursiveLS.transform_jacobian(unconstrained, approx_centered=False)¶

Jacobian matrix for the parameter transformation function

Parameters:¶

unconstrainedarray_like

Array of unconstrained parameters used by the optimizer.

Returns:¶

jacobianndarray

Jacobian matrix of the transformation, evaluated at unconstrained

See also

transform_params

Notes

This is a numerical approximation using finite differences. Note that in general complex step methods cannot be used because it is not guaranteed that the transform_params method is a real function (e.g. if Cholesky decomposition is used).