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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 2023 · math.STShow all

6 papers · 2 filters

math.ST2023

A bridge between the circular and linear normal distributions

Frédéric Ouimet

In this short note, we present a refined approximation for the log-ratio of the density of the von Mises distribution (also called the circular normal distribution) to the s…

math.ST2023★ 6 cited

On the Gaussian product inequality conjecture for disjoint principal minors of Wishart random matrices

Christian Genest, Frédéric Ouimet, Donald Richards

This paper extends various results related to the Gaussian product inequality (GPI) conjecture to the setting of disjoint principal minors of Wishart random matrices. This includes…

math.ST2023★ 2 cited

Asymptotic comparison of negative multinomial and multivariate normal experiments

Christian Genest, Frédéric Ouimet

This note presents a refined local approximation for the logarithm of the ratio between the negative multinomial probability mass function and a multivariate normal density, both h…

math.ST2023

Non-asymptotic approximations for Pearson's chi-square statistic and its application to confidence intervals for strictly convex functions of the probability weights of discrete distributions

Eric Bax, Frédéric Ouimet

In this paper, we develop a non-asymptotic local normal approximation for multinomial probabilities. First, we use it to find non-asymptotic total variation bounds between the meas…

math.ST2023★ 2 cited

Deficiency bounds for the multivariate inverse hypergeometric distribution

Frédéric Ouimet

The multivariate inverse hypergeometric (MIH) distribution is an extension of the negative multinomial (NM) model that accounts for sampling without replacement in a finite populat…

math.ST2023★ 1 cited

A new adaptive local polynomial density estimation procedure on complicated domains

Karine Bertin, Nicolas Klutchnikoff, Frédéric Ouimet

This paper presents a novel approach for pointwise estimation of multivariate density functions on known domains of arbitrary dimensions using nonparametric local polynomial estima…