Publication: Twenty years of P-splines
dc.affiliation.dpto | UC3M. Departamento de Estadística | es |
dc.contributor.author | Eilers, Paul H.C. | |
dc.contributor.author | Marx, Brian D. | |
dc.contributor.author | Durbán Reguera, María Luz | |
dc.date.accessioned | 2021-07-12T11:38:55Z | |
dc.date.available | 2021-07-12T11:38:55Z | |
dc.date.issued | 2015-10-01 | |
dc.description.abstract | P-splines first appeared in the limelight twenty years ago. Since then they have become popular in applications and in theoretical work. The combination of a rich B-spline basis and a simple dif- ference penalty lends itself well to a variety of generalizations, because it is based on regression. In effect, P-splines allow the building of a “backbone” for the “mixing and matching” of a variety of additive smooth structure components, while inviting all sorts of extensions: varying-coefficient effects, signal (functional) regressors, two-dimensional surfaces, non-normal responses, quantile (expectile) modelling, among others. Strong connections with mixed models and Bayesian analy- sis have been established. We give an overview of many of the central developments during the first two decades of P-splines. | en |
dc.identifier.bibliographicCitation | Eilers, P. H. C., Marx, B. D., & Durbán, M. (2015). Twenty years of P-splines (invited article) [JD]. SORT. Statistics and Operations Research Transactions, 39, 149–186. | |
dc.identifier.doi | https://doi.org/10.2436/20.8080.02.25 | |
dc.identifier.issn | 1696-2281 | |
dc.identifier.publicationfirstpage | 149 | |
dc.identifier.publicationissue | 2 | |
dc.identifier.publicationlastpage | 189 | |
dc.identifier.publicationtitle | SORT-Statistics and Operations Research Transactions | |
dc.identifier.publicationvolume | 39 | |
dc.identifier.uri | https://hdl.handle.net/10016/33039 | |
dc.identifier.uxxi | AR/0000017653 | |
dc.language.iso | eng | |
dc.publisher | Statistical Institute of Catalonia (IDESCAT) | |
dc.relation.publisherversion | https://www.idescat.cat/sort/artpublished.html | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | |
dc.subject.eciencia | Estadística | es |
dc.subject.other | B-Splines | en |
dc.subject.other | Penalty | en |
dc.subject.other | Additive model | en |
dc.subject.other | Mixed model | en |
dc.subject.other | Multidimensional smoothing | en |
dc.subject.other | Structured additive regression | en |
dc.subject.other | Varying coefficient models | en |
dc.subject.other | Single index models | en |
dc.subject.other | Penalized signal regression | en |
dc.subject.other | Generalized linear models | en |
dc.subject.other | Composite link model | en |
dc.subject.other | Space time data | en |
dc.subject.other | Semiparametric regression | en |
dc.subject.other | Maximum likelihood | en |
dc.title | Twenty years of P-splines | en |
dc.type | research article | * |
dc.type.hasVersion | VoR | * |
dspace.entity.type | Publication |
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