'Return determinant of white noise covariance with degrees of freedom
correction:
.. math::
\hat \Omega = \frac{T}{T - Kp - 1} \hat \Omega_{\mathrm{MLE}}'

@cache_readonly
def detomega(self):

    return L.det(self.sigma_u)
