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20072026
most citedOn deconvolution with repeated measurements

206 citations · 405 across the 10 of their papers we have counts for

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12 papers · 1 filter

math.ST2026

Local polynomial density ratio estimation

Hajo Holzmann, Alexander Meister

We propose a novel local-polynomial estimator of the ratio of two -dimensional densities and , from which independent samples are available. The estimator is show…

math.ST2020

Testing for linearity in boundary regression models with application to maximal life expectancies

Jürgen Kampf, Alexander Meister

We consider a regression model with errors that are a.s. negative. Thus the regression function is not the expected value of the observations but the right endpoint of their suppor…

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…

math.ST2016

Strong Gaussian approximation of the mixture Rasch model

Friedrich Liese, Alexander Meister, Johanna Kappus

We consider the famous Rasch model, which is applied to psychometric surveys when n persons under test answer m questions. The score is given by a realization of a random binary (n…

math.ST2016★ 11 cited

Optimal classification and nonparametric regression for functional data

Alexander Meister

We establish minimax convergence rates for classification of functional data and for nonparametric regression with functional design variables. The optimal rates are of logarithmic…