code: def posterior_bayes_information(self, expparams):
          
          return self._bim(
              self.particle_locations, expparams,
              modelweights=self.particle_weights
          )
docs: Evaluates the local Bayesian Information Matrix (BIM) over all particles
          of the current posterior distribution with corresponding weights.
  
          :param expparams: Parameters describing the experiment that was
              performed.
          :type expparams: :class:`~numpy.ndarray` of dtype given by the
              :attr:`~qinfer.abstract_model.Model.expparams_dtype` property
              of the underlying model