3 papers
stat.ME2026
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…
math.ST2026
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…
math.PR2025
Functional limit theorems for random Lebesgue-Stieltjes convolutions
Alexander Iksanov, Wissem Jedidi
We prove joint functional limit theorems in the Skorokhod space equipped with the -topology for successive Lebesgue-Stieltjes convolutions of nondecreasing stochastic processe…