Uniform convergence rates and uniform adaptive estimation in mixtures of regressions

In this thesis, we develop theoretical tools to examine estimators in non-parametric regression models in regard of uniform convergence rates and uniform adaptivity with respect to the smoothness of the parameter functions. Subsequently, those are applied to non-parametric regression models with Höl...

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Bibliographic Details

Main Author:	Werner, Heiko
Contributors:	Holzmann, Hajo (Prof. Dr.) (Thesis advisor)
Format:	Doctoral Thesis
Language:	English
Published:	Philipps-Universität Marburg 2018
Subjects:	Gleichmäßige Konvergenzraten Mischungen von Normalverteilungen mixtures of normals non-parametri adaptive estimation Adaptive Schätzung M-estimation Mathematik mixtures of regressions minimum contrast estimation M-Schätzung uniform convergence rates Mischregressionen Minimum Kontrast Schätzung Mathematics
Online Access:	PDF Full Text
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