Markov chain Monte Carlo (MCMC)

A probabilistic analysis method combined with the Markov model, which captures the transitional probabilities between various states to study the interaction between the probability distributions attached to each variable.

Note: This type of simulation provides an estimate of the degree of uncertainty in a model. It is widely used in Bayesian analysis to build or update models of the joint distribution of variables.