Markov-Chain Monte-Carlo (MCMC) method
sampling posterior distributions via random number generator from a magical library of Gaussian processes (magical recipe book)
Technical definition
An algorithmic strategy used to statistically sample the posterior distribution of model parameters given data, allowing for uncertainty quantification and Bayesian inference.