def _loglr(self):
        r"""Computes the log likelihood ratio,
        .. math::
            \log \mathcal{L}(\Theta) =
                I_0 \left(\left|\sum_i O(h^0_i, d_i)\right|\right) -
                \frac{1}{2}\left<h^0_i, h^0_i\right>,
        at the current point in parameter space :math:`\Theta`.
        Returns
        -------
        float
            The value of the log likelihood ratio evaluated at the given point.
        """
        params = self.current_params
        try:
            wfs = self._waveform_generator.generate(**params)
        except NoWaveformError:
            return self._nowaveform_loglr()
        hh = 0.
        hd = 0j
        for det, h in wfs.items():
            # the kmax of the waveforms may be different than internal kmax
            kmax = min(len(h), self._kmax)
            if self._kmin >= kmax:
                # if the waveform terminates before the filtering low frequency
                # cutoff, then the loglr is just 0 for this detector
                hh_i = 0.
                hd_i = 0j
            else:
                # whiten the waveform
                h[self._kmin:kmax] *= self._weight[det][self._kmin:kmax]
                # calculate inner products
                hh_i = h[self._kmin:kmax].inner(h[self._kmin:kmax]).real
                hd_i = self.data[det][self._kmin:kmax].inner(
                    h[self._kmin:kmax])
            # store
            setattr(self._current_stats, '{}_optimal_snrsq'.format(det), hh_i)
            hh += hh_i
            hd += hd_i
        hd = abs(hd)
        self._current_stats.maxl_phase = numpy.angle(hd)
        return numpy.log(special.i0e(hd)) + hd - 0.5*hh
r"""Computes the log likelihood ratio,
        .. math::
            \log \mathcal{L}(\Theta) =
                I_0 \left(\left|\sum_i O(h^0_i, d_i)\right|\right) -
                \frac{1}{2}\left<h^0_i, h^0_i\right>,
        at the current point in parameter space :math:`\Theta`.
        Returns
        -------
        float
            The value of the log likelihood ratio evaluated at the given point.