Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization
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- repec:eee:jmvana:v:161:y:2017:i:c:p:12-31 is not listed on IDEAS
- repec:eee:stapro:v:128:y:2017:i:c:p:60-66 is not listed on IDEAS
- Sabourin, Anne, 2015. "Semi-parametric modeling of excesses above high multivariate thresholds with censored data," Journal of Multivariate Analysis, Elsevier, vol. 136(C), pages 126-146.
- repec:bla:jorssb:v:79:y:2017:i:1:p:149-175 is not listed on IDEAS
- Lee, J. & Fan, Y. & Sisson, S.A., 2015. "Bayesian threshold selection for extremal models using measures of surprise," Computational Statistics & Data Analysis, Elsevier, vol. 85(C), pages 84-99.
More about this item
KeywordsMultivariate extremes; Semi parametric Bayesian inference; Mixture models; Reversible-jump algorithm;
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