2 citations · 3 across the 4 of their papers we have counts for
5 papers
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…
A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
Rihab Gharbi, Wissem Jedidi, Salah Khardani +1
We study nonparametric estimation of univariate cumulative distribution functions (CDFs) pertaining to data missing at random. The proposed estimators smooth the inverse probabilit…
Dirichlet kernel density estimation for strongly mixing sequences on the simplex
Hanen Daayeb, Salah Khardani, Frédéric Ouimet
This paper investigates the theoretical properties of Dirichlet kernel density estimators for compositional data supported on simplices, for the first time addressing scenarios inv…
On the Dirichlet-kernel Gasser--Müller estimator and its competitors for fixed design regression on the simplex
Hanen Daayeb, Christian Genest, Salah Khardani +2
A Dirichlet-kernel Gasser-Müller (D-GM) estimator is introduced for fixed design regression on the simplex, extending the univariate analog due to Chen [Statist. Sinica, vol. 10(1)…
Kernel-smoothed conditional quantiles of randomly censored functional stationary ergodic data
Mohamed Chaouch, Salah Khardani
This paper, investigates the conditional quantile estimation of a scalar random response and a functional random covariate (i.e. valued in some infinite-dimensional space) whenever…