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https://github.com/s-broda/quadraticformsmghyp.jl

A package for evaluating tail probabilities and partial moments for random vectors in multivariate generalized hyperbolic random vectors.
https://github.com/s-broda/quadraticformsmghyp.jl

expected-shortfall generalized-hyperbolic-distribution imhof inversion-formula normal-inverse-gaussian partial-moments quadratic-forms saddlepoint-approximation students-t tail-probabilities value-at-risk variance-gamma

Last synced: 25 days ago
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A package for evaluating tail probabilities and partial moments for random vectors in multivariate generalized hyperbolic random vectors.

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# QuadraticFormsMGHyp

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://s-broda.github.io/QuadraticFormsMGHyp.jl/stable)
[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://s-broda.github.io/QuadraticFormsMGHyp.jl/dev)
[![Build status (Linux, MacOS, Windows)](https://github.com/s-broda/QuadraticFormsMGHyp.jl/workflows/CI/badge.svg)](https://github.com/s-broda/QuadraticFormsMGHyp.jl/actions?query=workflow%3ACI)
[![Codecov](https://codecov.io/gh/s-broda/QuadraticFormsMGHyp.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/s-broda/QuadraticFormsMGHyp.jl)
[![pkgeval](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/Q/QuadraticFormsMGHyp.svg)](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/Q/QuadraticFormsMGHyp.html)
[![DOI](https://zenodo.org/badge/244015145.svg)](https://zenodo.org/badge/latestdoi/244015145)

A package for evaluating tail probabilities and partial moments for random vectors in multivariate generalized hyperbolic random vectors. Matlab and Fortran code is available [here](https://github.com/s-broda/es4mgh).

# Installation
The package can be installed with `using Pkg; Pkg.add("QuadraticFormsMGHyp")`.

# Citation
If you use this package in your research, then please consider citing [our paper](https://doi.org/10.1093/biomet/asaa067). The figures in the paper can be recreated by running `using Pkg; Pkg.test("QuadraticFormsMGHyp")`.