Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/16130
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | VERHASSELT, Anneleen | - |
dc.date.accessioned | 2014-01-14T13:51:30Z | - |
dc.date.available | 2014-01-14T13:51:30Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Statistica sinica, 24 (1), p. 147-171 | - |
dc.identifier.issn | 1017-0405 | - |
dc.identifier.uri | http://hdl.handle.net/1942/16130 | - |
dc.description.abstract | We consider nonparametric smoothing and variable selection in generalized varying coefficient models. Generalized varying coefficient models are commonly used for analyzing the time-dependent effects of covariates on responses that are not necessary continuous, for example counts or categories. We present the Pspline estimator in this context and show its estimation consistency for a diverging number of knots (or B-spline basis functions), by using an approximation of the link function. The combination of P-splines with nonnegative garrote (which is a variable selection method) leads to good estimation and variable selection. The method is illustrated with a simulation study and a data example. | - |
dc.description.sponsorship | This research was supported by the TAP Research Network P6/03 of the Belgian State (Belgian Science Policy) and the Research Fund of the KULeuven (PDM-short term). | - |
dc.language.iso | en | - |
dc.subject.other | generalized varying coefficient models; longitudinal data; nonparametric smoothing; P-splines; variable selection | - |
dc.title | Generalized varying coefficient models: a smooth variable selection technique | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 171 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 147 | - |
dc.identifier.volume | 24 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Verhasselt, A (reprint author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, CenStat Agoralaan Bldg D 3590, Diepenbeek, Belgium. anneleen.verhasselt@uhasselt.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.5705/ss.2011.168 | - |
dc.identifier.isi | 000350178100008 | - |
item.fullcitation | VERHASSELT, Anneleen (2014) Generalized varying coefficient models: a smooth variable selection technique. In: Statistica sinica, 24 (1), p. 147-171. | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2016 | - |
item.accessRights | Open Access | - |
item.contributor | VERHASSELT, Anneleen | - |
crisitem.journal.issn | 1017-0405 | - |
crisitem.journal.eissn | 1996-8507 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Verhasselt 2014.pdf Restricted Access | 1.93 MB | Adobe PDF | View/Open Request a copy | |
13399.pdf | Non Peer-reviewed author version | 590.53 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.