arXiv:2402.15228 [math.PR]AbstractReferencesReviewsResources
Convolutions and Mixtures of Gamma, Stable and Mittag-Leffler Distributions
Published 2024-02-23, updated 2024-04-15Version 5
This paper uses convolutions of the gamma density and the one-sided stable density to construct higher level densities. The approach is applied to constructing a 4-parameter Mittag-Leffler density, whose Laplace transform is a corresponding Mittag-Leffler function, which is completely monotone (CM) by construction. Laplace transforms of mixtures of the stable densities with respect to the 4-parameter Mittag-Leffler distribution are compositions of the Mittag-Leffler functions with Bernstein functions, thereby generating a rich family of CM variants of the base CM Mittag-Leffler functions, including known instances as special cases.
Categories: math.PR
Related articles: Most relevant | Search more
Convolutions of long-tailed and subexponential distributions
arXiv:1506.02778 [math.PR] (Published 2015-06-09)
A note on mixture representations for the Linnik and Mittag-Leffler distributions and their applications
arXiv:2309.08024 [math.PR] (Published 2023-09-14)
On the dual representations of Laplace transforms of Markov processes