3 papers
stat.ML2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
Matthieu Lerasle, Zoltan Szabo, Timothee Mathieu +1
Mean embeddings provide an extremely flexible and powerful tool in machine learning and statistics to represent probability distributions and define a semi-metric (MMD, maximum mea…
math.ST2016
Kernel estimation of the intensity of Cox processes
Nicolas Klutchnikoff, Gaspar Massiot
Counting processes often written are used in several applications of biostatistics, notably for the study of chronic diseases. In the case of respirato…
math.ST2016
A nonparametric test for Cox processes
Benoît Cadre, Gaspar Massiot, Lionel Truquet
In a functional setting, we propose two test statistics to highlight the Poisson nature of a Cox process when n copies of the process are available. Our approach involves a compari…