Financial Mathematics
Gibbs sampling is a Markov Chain Monte Carlo (MCMC) method used for generating samples from a joint probability distribution when direct sampling is challenging. It relies on the concept of conditional distributions, allowing for the iterative sampling of variables one at a time, while keeping others fixed. This technique is especially useful in Bayesian statistics and enables the approximation of complex posterior distributions through repeated iterations.
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