Markov chain Monte Carlo (MCMC)
Revision as of 12:34, 9 November 2023 by Editor iHTS (talk | contribs) (Created page with "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. [http://htaglossary.net/Markov-chain-Monte-Carl...")
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.