On the computation of the cumulative distribution function of the Normal Inverse Gaussian distribution

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1. Verfasser: Navas-Palencia, Guillermo
Format: Preprint
Veröffentlicht: 2025
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author Navas-Palencia, Guillermo
author_facet Navas-Palencia, Guillermo
contents In this paper, we obtain various series and asymptotic expansions involving the modified Bessel function of the second kind for the normal inverse Gaussian cumulative distribution function. The new expansions accelerate computations, complementing the numerical integration methods implemented in statistical software packages. We also provide a detailed description of the algorithm and its corresponding implementation in C++. The performance and accuracy of the algorithm are extensively tested and benchmarked with open-source implementations, offering superior accuracy and speed-ups of a factor from 5 to 60.
format Preprint
id arxiv_https___arxiv_org_abs_2502_16015
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On the computation of the cumulative distribution function of the Normal Inverse Gaussian distribution
Navas-Palencia, Guillermo
Numerical Analysis
Mathematical Software
Computation
62-08, 33-04, 33F05
G.1; G.3; G.4
In this paper, we obtain various series and asymptotic expansions involving the modified Bessel function of the second kind for the normal inverse Gaussian cumulative distribution function. The new expansions accelerate computations, complementing the numerical integration methods implemented in statistical software packages. We also provide a detailed description of the algorithm and its corresponding implementation in C++. The performance and accuracy of the algorithm are extensively tested and benchmarked with open-source implementations, offering superior accuracy and speed-ups of a factor from 5 to 60.
title On the computation of the cumulative distribution function of the Normal Inverse Gaussian distribution
topic Numerical Analysis
Mathematical Software
Computation
62-08, 33-04, 33F05
G.1; G.3; G.4
url https://arxiv.org/abs/2502.16015