The variance-gamma product distribution
Robert E. Gaunt, Siqi Li, Heather Sutcliffe

TL;DR
This paper derives the exact probability density function for the product of multiple independent variance-gamma variables and extends these results to related distributions, providing formulas for density, CDF, and characteristic functions.
Contribution
It introduces a comprehensive derivation of the product distribution of variance-gamma variables and related distributions, including asymptotic approximations and closed-form formulas.
Findings
Exact density function for the product of variance-gamma variables
Formulas for the CDF and characteristic function of the product
Asymptotic approximations for tail probabilities and quantiles
Abstract
We derive the exact probability density function of the product of independent variance-gamma random variables with zero location parameter. We then apply this formula to derive formulas for the cumulative distribution function and characteristic function, as well as asymptotic approximations for the density, tail probabilities and quantile function. From our general results, we deduce closed-form formulas for the density, cumulative distribution function and characteristic function of the product of independent asymmetric Laplace random variables and mixed products of independent Laplace and centred normal random variables.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBayesian Methods and Mixture Models · Statistical Distribution Estimation and Applications
