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 2021 · math.STShow all

7 papers · 2 filters

math.ST2021★ 7 cited

Minimax properties of Dirichlet kernel density estimators

Karine Bertin, Christian Genest, Nicolas Klutchnikoff +1

This paper considers the asymptotic behavior in -Hölder spaces, and under losses, of a Dirichlet kernel density estimator proposed by Aitchison and Lauder (1985) for the a…

math.ST2021

Bounding Means of Discrete Distributions

Eric Bax, Frédéric Ouimet

We introduce methods to bound the mean of a discrete distribution (or finite population) based on sample data, for random variables with a known set of possible values. In particul…

math.ST2021★ 3 cited

On the Le Cam distance between multivariate hypergeometric and multivariate normal experiments

Frédéric Ouimet

In this short note, we develop a local approximation for the log-ratio of the multivariate hypergeometric probability mass function over the corresponding multinomial probability m…

math.ST2021★ 11 cited

A symmetric matrix-variate normal local approximation for the Wishart distribution and some applications

Frédéric Ouimet

The noncentral Wishart distribution has become more mainstream in statistics as the prevalence of applications involving sample covariances with underlying multivariate Gaussian po…

math.ST2021★ 4 cited

Counterexamples to the classical central limit theorem for triplewise independent random variables having a common arbitrary margin

Guillaume Boglioni Beaulieu, Pierre Lafaye de Micheaux, Frédéric Ouimet

We present a general methodology to construct triplewise independent sequences of random variables having a common but arbitrary marginal distribution (satisfying very mild con…

math.ST2021★ 6 cited

A refined continuity correction for the negative binomial distribution and asymptotics of the median

Frédéric Ouimet

In this paper, we prove a local limit theorem and a refined continuity correction for the negative binomial distribution. We present two applications of the results. First, we find…

math.ST2021★ 7 cited

A multivariate normal approximation for the Dirichlet density and some applications

Frédéric Ouimet

In this short note, we prove an asymptotic expansion for the ratio of the Dirichlet density to the multivariate normal density with the same mean and covariance matrix. The expansi…