5 Conclusions

5.1 Bayesian models are good

  • Increasing levels of assumptions: Least Squares, to Maximum Likelihood-based models, to Bayesian models.
  • We’re standing on the shoulders of giants! Be mindful and use prior knowledge.

5.2 Different flavors of MCMC have enabled applied Bayesian models

  • MCMC has enabled modern applied Bayesian models.
  • Computational efficiency of MCMC is improving.

5.3 Don’t forget to check

  • No free lunches: powerful computations still need babysitting.
  • Model checking helps understanding your model’s strengths and weaknesses.

5.4 Thanks for coming!