26 citations · 305 across the 66 of their papers we have counts for
5 papers · 1 filter
Tweedie-based nonparametric estimation for semicontinuous mixed densities
Guanjie Lyu, Frédéric Ouimet, Cindy Feng
Semicontinuous outcomes occur frequently in health services, insurance, and cost studies. Standard nonparametric density estimators are not well suited to such data because they do…
Dirichlet kernel density estimation on the simplex with missing data
Sami Baraket, Hanen Daayeb, Salah Khardani +2
Nonparametric density estimation for compositional data supported on the simplex is examined under a missing at random mechanism. Rather than imputing missing values and estimating…
Wishart kernel density estimation for strongly mixing time series on the cone of positive definite matrices
Léo R. Belzile, Christian Genest, Frédéric Ouimet +1
A Wishart kernel density estimator (KDE) is introduced for density estimation in the cone of positive definite matrices. The estimator is boundary-aware and mitigates the boundary…
Omnibus goodness-of-fit tests for univariate continuous distributions based on trigonometric moments
Alain Desgagné, Frédéric Ouimet
We propose a new omnibus goodness-of-fit test based on trigonometric moments of probability-integral-transformed data. The test builds on the framework of the LK test introduced by…
A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution
Alain Desgagné, Pierre Lafaye de Micheaux, Frédéric Ouimet
In this paper we present the results from an empirical power comparison of 40 goodness-of-fit tests for the univariate Laplace distribution, carried out using Monte Carlo simulatio…