Exoplanetary Science
Gibbs sampling is a Markov Chain Monte Carlo (MCMC) algorithm used to generate samples from a probability distribution when direct sampling is difficult. It works by iteratively sampling from the conditional distributions of each variable in a multidimensional distribution, effectively allowing researchers to approximate the joint distribution of those variables. This method is particularly useful in exoplanet research, where it helps in estimating parameters and understanding complex models based on observational data.
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