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math.ST2021
Regression with Missing Data, a Comparison Study of TechniquesBased on Random Forests
Irving Gómez-Méndez, Emilien Joly
In this paper we present the practical benefits of a new random forest algorithm to deal withmissing values in the sample. The purpose of this work is to compare the different solu…
math.ST2016★ 3 cited
Practical targeted learning from large data sets by survey sampling
Patrice Bertail, Antoine Chambaz, Emilien Joly
We address the practical construction of asymptotic confidence intervals for smooth (i.e., path-wise differentiable), real-valued statistical parameters by targeted learning from i…
math.ST2015★ 6 cited
Robust estimation of U-statistics
Emilien Joly, Gábor Lugosi
An important part of the legacy of Evarist Giné is his fundamental contributions to our understanding of -statistics and -processes. In this paper we discuss the estimation o…