docs: 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