activity
20122026
most citedInequalities for modified Bessel functions and their integrals

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

collaborators

88 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

Bounds for the median of the generalized hyperbolic and related distributions

Robert E. Gaunt, Frédéric Ouimet

We prove monotonicity properties for medians of gamma sums and differences of the form , where and are independent gamma random variables with…

math.PR2026

On Pólya's 4D random walk constant

Robert E. Gaunt

The return probability in the simple symmetric random walk on the 4-dimensional lattice is evaluated in closed form in terms of the generalized hypergeometric functi…

math.PR2026

Log-convexity and log-concavity of noncentral gamma sums and differences

Robert E. Gaunt, Frédéric Ouimet

We study log-convexity and log-concavity of densities obtained from sums and differences of two independent noncentral gamma random variables. We give a complete classification of…

math.PR2026

On Wilks' problem: Exact recursive formulas via Stein's method for the joint moments of disjoint principal minors of Wishart random matrices

Robert E. Gaunt, Frédéric Ouimet

In a 1934 Annals of Mathematics paper, Samuel S. Wilks posed the problem of computing joint moments of disjoint principal minors of Wishart random matrices, describing the general…

math.PR2026

Stein's method for the symmetric matrix normal distribution with an application to the approximation of the Wishart law

Robert E. Gaunt, Frédéric Ouimet

In this paper, we extend Stein's method to the symmetric matrix normal distribution. In particular, we obtain a Stein characterization of the symmetric matrix normal distribution i…