Improving ABC for quantile distributions
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A new approximate Bayesian computation (ABC) algorithm is proposed specifically designed for models involving quantile distributions. The proposed algorithm compares favourably with two other ABC algorithms when applied to examples involving quantile distributions.
KeywordsApproximate Bayesian computation Likelihood-free inference Markov chain Monte Carlo Quantile distributions Quantile regression
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