mcmc-1980s-computational-revolution
IN premise — summaries/2026/08/24/wiki-Bayesian_inference-chunk-4.md
Created 2026-08-25T02:58:44+00:00
Markov chain Monte Carlo (MCMC) methods were popularized in the 1980s, removing major computational barriers and catalyzing dramatic growth in Bayesian research and applications.
Summary
In the 1980s, a family of simulation techniques (MCMC) finally made it practical to compute the probability distributions that Bayesian analysis depends on, something that had previously been too computationally heavy for anything beyond toy problems. This breakthrough is what turned Bayesian statistics from a largely theoretical framework into a workday tool across science, economics, and industry.