
arXiv: 1802.09996
The decreasing enumeration of the points of a Poisson random measure whose mean measure has finite survival function on the positive half-axis can be represented as a non-increasing function of the jump times of a standard Poisson process. This observation allows to generalize the essential idea from a well-known exact simulation algorithm for arbitrary extreme-value copulas to copulas of a more general family of max-infinitely divisible distributions, with reciprocal Archimedean copulas being a particular example.
Methodology (stat.ME), FOS: Computer and information sciences, reciprocal Archimedean copula, Poisson random measure, simulation, max-infinitely divisible, Characterization and structure theory for multivariate probability distributions; copulas, Statistics - Methodology, Random measures
Methodology (stat.ME), FOS: Computer and information sciences, reciprocal Archimedean copula, Poisson random measure, simulation, max-infinitely divisible, Characterization and structure theory for multivariate probability distributions; copulas, Statistics - Methodology, Random measures
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
