Estimation of posterior density function
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Man-Suk Oh
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Article
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1999
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Elsevier Science
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English
โ 193 KB
The joint posterior density function of parameters and marginal posterior density functions of subsets of parameters are key quantities in Bayesian inference. Even when the posterior densities are unknown, there are many cases where Markov Chain Monte Carlo methods can generate samples from the join