Please use this identifier to cite or link to this item:
https://doi.org/10.1080/10485252.2010.533768
DC Field | Value | |
---|---|---|
dc.title | Optimal zone for bandwidth selection in semiparametric models | |
dc.contributor.author | Li, J. | |
dc.contributor.author | Zhang, W. | |
dc.contributor.author | Wu, Z. | |
dc.date.accessioned | 2014-10-28T05:14:10Z | |
dc.date.available | 2014-10-28T05:14:10Z | |
dc.date.issued | 2011-09 | |
dc.identifier.citation | Li, J., Zhang, W., Wu, Z. (2011-09). Optimal zone for bandwidth selection in semiparametric models. Journal of Nonparametric Statistics 23 (3) : 701-717. ScholarBank@NUS Repository. https://doi.org/10.1080/10485252.2010.533768 | |
dc.identifier.issn | 10485252 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/105288 | |
dc.description.abstract | We study the general problem of bandwidth selection in semiparametric regression. By expanding the higher-order terms in the Taylor series for the asymptotic mean-squared error, we provide a theoretical justification for the earlier empirical observations of an optimal zone of bandwidths in the literature. Based on the idea of cross-validating parametrical estimates, we further introduce a novel bandwidth selector for semiparametric models. The method is demonstrated by numerical studies to be able to preserve the selected bandwidth within the optimal zone. This data-driven cross-validation method may also be applicable for model diagnosis and longitudinal data settings. Examples from two clinical trials are provided to illustrate the applications. © American Statistical Association and Taylor & Francis 2011. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/10485252.2010.533768 | |
dc.source | Scopus | |
dc.subject | Asymptotic mean square error | |
dc.subject | Cross-validation | |
dc.subject | Neumann series approximation | |
dc.subject | Optimal bandwidth | |
dc.subject | Taylor series expansion | |
dc.type | Article | |
dc.contributor.department | STATISTICS & APPLIED PROBABILITY | |
dc.description.doi | 10.1080/10485252.2010.533768 | |
dc.description.sourcetitle | Journal of Nonparametric Statistics | |
dc.description.volume | 23 | |
dc.description.issue | 3 | |
dc.description.page | 701-717 | |
dc.identifier.isiut | 000299693300008 | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.