def METHOD_NAME(self):
    """ See :meth:`AdaptiveCovarianceMC._generate_proposal()`. """
    proposed = np.random.multivariate_normal(
        self._current, np.exp(self._log_lambda) *
        self._sigma[self._proposal_count])
    return proposed