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20152026
most citedAsymptotic properties of Dirichlet kernel density estimators

26 citations · 305 across the 66 of their papers we have counts for

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Showing 2026 · math.PRShow all

8 papers · 2 filters

math.PR2026

Overlap distributions under the Gibbs measure of a Haar model of on and near the critical line

Frédéric Ouimet

We study the Gibbs measure of , a random field modeling large values of the log-modulus of the Riemann zeta function on an…

math.PR2026

A proof of the strong Gaussian product inequality conjecture

Frédéric Ouimet, Dylan Greaves

Let be a centered Gaussian vector, not necessarily nondegenerate. It is proved that, for every , \[ \mathsf{E}\left[\prod_{i…

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 a conjecture of Lamkin and Tkocz: Log-convexity of moments of Bernoulli sample means

Frédéric Ouimet

Let be independent random variables, and let . We prove that, for every real , the sequenc…

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…

math.PR2026

Stein's method for the Wishart distribution

Gabriel Bailly, Robert E. Gaunt, Frédéric Ouimet +2

In this work, we develop Stein's method for the Wishart distribution on the cone of positive definite matrices. We establish the basic ingredients of a Wishart Stein framework: we…