Approximate bayesian inference in semiparametric copula models
We describe a simple method for making inference on a functional of a multivariate distribution, based on its copula representation. We make use of an approximate Bayesian Monte Carlo algorithm, where the proposed values of the functional of interest are weighted in terms of their Bayesian exponenti...
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| Format: | Journal article |
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International Society for Bayesian Analysis
2017
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