 Various approximate methods have been developed, but none has good properties for all possible models and data sets (e.g.ungrouped binary data are particularly problematic).For this reason, methods involving numerical quadrature or Markov chain Monte Carlo have increased in use, as increasing computing power and advances in methods have made them more practical.