During much of the 20th century, Bayesian methods were unfavorable with many statisticians due to philosophical and practical considerations. Many Bayesian methods required a lot of computation to complete, and most methods that were widely used during the century were based on the frequentist interpretation. However, with the advent of powerful computers and new algorithms like Markov chain Monte Carlo, Bayesian methods have seen increasing use within statistics in the 21st century.[1][3]