Using recursive algorithms for the efficient identification of smoothing spline ANOVA models
Marco Ratto () and
Andrea Pagano ()
AStA Advances in Statistical Analysis, 2010, vol. 94, issue 4, 367-388
Keywords: Smoothing spline ANOVA models; Recursive algorithms; Backfitting; Sensitivity analysis (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:alstar:v:94:y:2010:i:4:p:367-388
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10182/PS2
Access Statistics for this article
AStA Advances in Statistical Analysis is currently edited by Göran Kauermann and Yarema Okhrin
More articles in AStA Advances in Statistical Analysis from Springer, German Statistical Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().