activity
20152026
most citedAsymptotic properties of Dirichlet kernel density estimators

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

collaborators
Showing 2022Show all

7 papers · 1 filter

math.ST2022★ 1 cited

Normal approximations for the multivariate inverse Gaussian distribution and asymmetric kernel smoothing on -dimensional half-spaces

Léo R. Belzile, Alain Desgagné, Christian Genest +1

This paper introduces a novel density estimator supported on -dimensional half-spaces. It stands out as the first asymmetric kernel density estimator for half-spaces in the lite…

math.PR2022★ 2 cited

Moments of the negative multinomial distribution

Frédéric Ouimet

The negative multinomial distribution appears in many areas of applications such as polarimetric image processing and the analysis of longitudinal count data. In previous studies,…

math.PR2022★ 3 cited

The Gaussian product inequality conjecture for multinomial covariances

Frédéric Ouimet

In this short note, we find an equivalent combinatorial condition only involving finite sums under which a centered Gaussian random vector with multinomial covariance matrix satisf…

math.PR2022★ 10 cited

Miscellaneous results related to the Gaussian product inequality conjecture for the joint distribution of traces of Wishart matrices

Christian Genest, Frédéric Ouimet

This note reports partial results related to the Gaussian product inequality (GPI) conjecture for the joint distribution of traces of Wishart matrices. In particular, several GPI-r…

math.ST2022

Local normal approximations and probability metric bounds for the matrix-variate distribution and its application to Hotelling's statistic

Frédéric Ouimet

In this paper, we develop local expansions for the ratio of the centered matrix-variate density to the centered matrix-variate normal density with the same covariances. The app…

math.ST2022★ 4 cited

Refined normal approximations for the central and noncentral chi-square distributions and some applications

Frédéric Ouimet

In this paper, we prove a local limit theorem for the chi-square distribution with degrees of freedom and noncentrality parameter . We use it to develop refined no…