statsmodels.tools.eval_measures.bic

statsmodels.tools.eval_measures.bic(llf, nobs, df_modelwc)

Bayesian information criterion (BIC) or Schwarz criterion

Parameters:

• llf (float) – value of the loglikelihood
• nobs (int) – number of observations
• df_modelwc (int) – number of parameters including constant

Returns:

bic – information criterion

Return type:

float

References

http://en.wikipedia.org/wiki/Bayesian_information_criterion