The 'Hook and Loop' Resampling Plane
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Description
We propose a new resampling scheme that takes literally the concept of the non-parametric bootstrap in which new samples are generated from the empirical distribution function. The introduced resampling concept is totally heuristic, but already shows promising results when applied to model selection. We show that for a range of linear models, the proposed resampling scheme outperforms the classical model selection techniques as well as its predecessor, the non-parametric bootstrap. It also simplifies the practical problem of choosing residual scaling or the length of the subsample that exists in the traditional bootstrap based model selection approach.
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| ID Code: | 14304 |
|---|---|
| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) |
| Measurements or Duration: | 4 pages |
| DOI: | 10.1109/CAMSAP.2007.4497966 |
| ISBN: | 978-1-4244-1714-8 |
| Pure ID: | 33687150 |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Health Past > Institutes > Institute of Health and Biomedical Innovation Current > Schools > School of Optometry & Vision Science |
| Copyright Owner: | Consult author(s) regarding copyright matters |
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
| Deposited On: | 06 Aug 2008 00:00 |
| Last Modified: | 03 Mar 2024 10:33 |
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