Since the early 1990s, Bayesian statistics and Markov chain Monte Carlo (MCMC) methods have become increasingly used in political science research. While the Bayesian approach enjoyed philosophical cachet up until that point, it was impractical (if not impossible) for applied work. This changed with the onset of MCMC methods, which allowed researchers to use simulation to fit otherwise intracta...