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20122026
most citedInequalities for modified Bessel functions and their integrals

81 citations · 158 across the 66 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

math.ST2016★ 3 cited

An asymptotic expansion for the normalizing constant of the Conway-Maxwell-Poisson distribution

Robert E. Gaunt, Satish Iyengar, Adri B. Olde Daalhuis +1

The Conway-Maxwell-Poisson distribution is a two-parameter generalisation of the Poisson distribution that can be used to model data that is under- or over-dispersed relative to th…

math.ST2016

Multivariate normal approximation of the maximum likelihood estimator via the delta method

Andreas Anastasiou, Robert E. Gaunt

We use the delta method and Stein's method to derive, under regularity conditions, explicit upper bounds for the distributional distance between the distribution of the maximum lik…

math.PR2016★ 4 cited

An algebra of Stein operators

Robert E. Gaunt, Guillaume Mijoule, Yvik Swan

We build upon recent advances on the distributional aspect of Stein's method to propose a novel and flexible technique for computing Stein operators for random variables that can b…

math.PR2016

A Stein characterisation of the generalized hyperbolic distribution

Robert E. Gaunt

The generalized hyperbolic (GH) distributions form a five parameter family of probability distributions that includes many standard distributions as special or limiting cases, such…

math.PR2016★ 3 cited

The rate of convergence of some asymptotically chi-square distributed statistics by Stein's method

Robert E. Gaunt, Gesine Reinert

We build on recent works on Stein's method for functions of multivariate normal random variables to derive bounds for the rate of convergence of some asymptotically chi-square dist…

math.CA2016

A Probabilistic proof of some integral formulas involving the Meijer -function

Robert E. Gaunt

New integral formulas involving the Meijer -function are derived using recent results concerning distributional characterisations and distributional transformations in probabili…