Bernstein polynomial angular densities of multivariate extreme value distributions

Timothy Hanson, Miguel de Carvalho, Yuhui Chen

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

To model the angular measure of a multivariate extreme value distribution, we develop a mean-constrained Bernstein polynomial over the (p - 1)-dimensional simplex, along with a generalization that places mass on the simplex boundaries. Simple componentwise adaptive Markov chain Monte Carlo algorithms for fitting the models to data derived from multivariate extremes is provided; the algorithms are implemented in code provided in the online supplementary content.
Original languageEnglish
Pages (from-to)60-66
Number of pages7
JournalStatistics and Probability Letters
Early online date24 Apr 2017
Publication statusPublished - Sept 2017


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