activity
20222026
collaborators

8 papers

math.PR2026

Closed-form evaluation of the cumulative distribution function and absolute moments of the variance-gamma distribution

Robert E. Gaunt, Heather L. Sutcliffe

Closed-form formulas are derived for the cumulative distribution function and odd-order absolute moments of the variance-gamma distribution. As a special case, closed-form expressi…

math.PR2026

The non-central gamma sum and difference distributions: exact distribution and asymptotic expansions

Robert E. Gaunt, Heather L. Sutcliffe

Exact formulas are derived for the probability density functions of the sum and difference of two independent non-central gamma distributed random variables, with both series and i…

math.PR2026

The distribution of the ratio of products of independent zero mean normal random variables

Robert E. Gaunt, Heather L. Sutcliffe

Let and be independent zero mean normal random variables with variances , , and , , respectively…

math.PR2025

Stein's method for asymmetric Laplace approximation

Fraser Daly, Robert E. Gaunt, Heather L. Sutcliffe

Motivated by its appearance as a limiting distribution for random and non-random sums of independent random variables, in this paper we develop Stein's method for approximation by…

math.PR2025

The variance-gamma product distribution

Robert E. Gaunt, Siqi Li, Heather Sutcliffe

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 deriv…

math.PR2024

A Stein characterisation of the distribution of the product of correlated normal random variables

Robert E. Gaunt, Siqi Li, Heather L. Sutcliffe

We obtain a Stein characterisation of the distribution of the product of two correlated normal random variables with non-zero means, and more generally the distribution of the sum…

math.ST2023

Bounds for distributional approximation in the multivariate delta method by Stein's method

Robert E. Gaunt, Heather Sutcliffe

We obtain bounds to quantify the distributional approximation in the delta method for vector statistics (the sample mean of independent random vectors) for normal and non-norma…

math.PR2022

Improved bounds in Stein's method for functions of multivariate normal random vectors

Robert E. Gaunt, Heather Sutcliffe

In a recent paper, Gaunt 2020 extended Stein's method to limit distributions that can be represented as a function of a centered multivariate…