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math.ST2019
Nonparametric density estimation for intentionally corrupted functional data
Aurore Delaigle, Alexander Meister
We consider statistical models where functional data are artificially contaminated by independent Wiener processes in order to satisfy privacy constraints. We show that the corrupt…
math.ST2019
Rate-optimal nonparametric estimation for random coefficient regression models
Hajo Holzmann, Alexander Meister
Random coefficient regression models are a popular tool for analyzing unobserved heterogeneity, and have seen renewed interest in the recent econometric literature. In this paper w…