Uniform convergence rates and uniform adaptive estimation in mixtures of regressions

Werner, Heiko

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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Bibliografiska uppgifter
Huvudupphovsman:	Werner, Heiko
Övriga upphovsmän:	Holzmann, Hajo (Prof. Dr.) (BetreuerIn (Doktorarbeit))
Materialtyp:	Dissertation
Språk:	engelska
Publicerad:	Philipps-Universität Marburg 2018
Ämnen:	mixtures of normals Minimum Kontrast Schätzung mixtures of regressions Mischungen von Normalverteilungen adaptive estimation non-parametri Gleichmäßige Konvergenzraten M-estimation minimum contrast estimation Mathematik M-Schätzung uniform convergence rates Adaptive Schätzung Mischregressionen Mathematics
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Uniform convergence rates and uniform adaptive estimation in mixtures of regressions

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