Publikationsserver
Confidence sets for change-point problems in nonparametric regression
In this thesis, confidence sets for different nonparametric regression problems with change-points are developed. Uniform and pointwise asymptotic confidence bands for the jump-location-curve in a boundary fragment model using methods from M-estimation and Gaussian approximation are constructed for...
Wedi'i Gadw mewn:
| Prif Awdur: | |
|---|---|
| Awduron Eraill: | |
| Fformat: | Dissertation |
| Iaith: | Saesneg |
| Cyhoeddwyd: |
Philipps-Universität Marburg
2018
|
| Pynciau: | |
| Mynediad Ar-lein: | Testun PDF llawn |
| Tagiau: |
Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
|
| Crynodeb: | In this thesis, confidence sets for different nonparametric regression problems with change-points are developed. Uniform and pointwise asymptotic confidence bands for the jump-location-curve in a boundary fragment model using methods from M-estimation and Gaussian approximation are constructed for the rotated difference kernel estimator. In addition, estimation of the location and of the height of the jump in some derivative of a regression curve is considered. Optimal convergence rates as well as the joint asymptotic normal distribution of estimators based on the zero-crossing-time technique are established over certain Hölder-classes. Further, joint as well as marginal asymptotic confidence sets which are honest and adaptive for these parameters over specific Hölder-classes are constructed. The finite-sample performance is investigated in simulation studies, and real data illustrations are given. |
|---|---|
| Disgrifiad Corfforoll: | 171 Seiten |
| DOI: | 10.17192/z2018.0511 |