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06/07/2023
From dense to sparse design: Optimal rates under the supremum norm for estimating the mean function in functional data analysis
In the setting of functional data analysis, we derive optimal rates of c...
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03/31/2023
Lancester correlation – a new dependence measure linked to maximum correlation
We suggest correlation coefficients together with rank - and moment base...
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03/16/2022
Measurability of functionals and of ideal point forecasts
The ideal probabilistic forecast for a random variable Y based on an inf...
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09/06/2021
Using Proxies to Improve Forecast Evaluation
Comparative evaluation of forecasts of statistical functionals relies on...
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07/07/2021
Bounded support in linear random coefficient models: Identification and variable selection
We consider linear random coefficient regression models, where the regre...
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11/03/2020
Support estimation in high-dimensional heteroscedastic mean regression
A current strand of research in high-dimensional statistics deals with r...
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09/02/2020
Simultaneous inference for Berkson errors-in-variables regression under fixed design
In various applications of regression analysis, in addition to errors in...
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04/27/2020
Testing for spherical and elliptical symmetry
We construct new testing procedures for spherical and elliptical symmetr...
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03/23/2019
Asymptotic confidence sets for the jump curve in bivariate regression problems
We construct uniform and point-wise asymptotic confidence sets for the s...
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02/14/2019
Rate-optimal nonparametric estimation for random coefficient regression models
Random coefficient regression models are a popular tool for analyzing un...
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11/02/2018