def _getModelPosterior(self,min):
        """
        USES LAPLACE APPROXIMATION TO CALCULATE THE BAYESIAN MODEL POSTERIOR
        """
        Sigma = self._getLaplaceCovar(min)
        n_params = self.vd.getNumberScales()
        ModCompl = 0.5*n_params*sp.log(2*sp.pi)+0.5*sp.log(sp.linalg.det(Sigma))
        RV = min['LML']+ModCompl
        return RV
USES LAPLACE APPROXIMATION TO CALCULATE THE BAYESIAN MODEL POSTERIOR