Publikationsserver
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...
Sábháilte in:
| Príomhchruthaitheoir: | |
|---|---|
| Rannpháirtithe: | |
| Formáid: | Dissertation |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
Philipps-Universität Marburg
2018
|
| Ábhair: | |
| Rochtain ar líne: | An téacs iomlán mar PDF |
| Clibeanna: |
Cuir clib leis
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
|
| Achoimre: | 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 Hölder-smooth parameter functions. One model is a mixture of Gaussian regressions and the other model is a mixture model with two components and an unspecified symmetric error distribution. |
|---|---|
| Cur síos fisiciúil: | 166 Seiten |
| DOI: | 10.17192/z2019.0100 |