class_docstr: Class to contain results from likelihood models 
class_docstr_tok: ["Class","to","contain","results","from","likelihood","models"]
docstr: Schwarz's Bayesian Information Criterion
docstr_tok: ["Schwarz","'s","Bayesian","Information","Criterion"]
code: def BIC(self):
      """
      Schwarz's Bayesian Information Criterion
      """
      n = self.Y.shape[0]
      p = self.theta.shape[0]
      return -2 * self.logL + np.log(n) * p
  
imports: import numpy
  from nibabel.onetime import auto_attr
  from numpy.linalg import inv
  from scipy.stats import t
  from ...utils.matrices import pos_recipr
label_desc: Use image node_id 4 for calling the LikelihoodModelResults obj's underlying member method code with example usage: obj.BIC() and returns: unknown