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Smoothing Spline ANOVA decomposition of arbitrary Splines

  • The Smoothing Spline ANOVA (SS-ANOVA) requires a specialized construction of basis and penalty terms in order to incorporate prior knowledge about the data to be fitted. Typically, one resorts to the most general approach using tensor product splines. This implies severe constraints on the correlation structure, i.e. the assumption of isotropy of smoothness can not be incorporated in general. This may increase the variance of the spline fit, especially if only a relatively small set of observations are given. In this article, we propose an alternative method that allows to incorporate prior knowledge without the need to construct specialized bases and penalties, allowing the researcher to choose the spline basis and penalty according to the prior knowledge of the observations rather than choosing them according to the analysis to be done. The two approaches are compared with an artificial example and with analyses of fixation durations during reading.

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Metadaten
Author details:Hannes MatuschekORCiDGND, Reinhold KlieglORCiDGND, Matthias HolschneiderORCiDGND
URN:urn:nbn:de:kobv:517-opus4-409788
DOI:https://doi.org/10.25932/publishup-40978
ISSN:1866-8372
Title of parent work (English):Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe
Subtitle (English):an application to eye movements in reading
Publication series (Volume number):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (537)
Publication type:Postprint
Language:English
Date of first publication:2019/01/21
Publication year:2015
Publishing institution:Universität Potsdam
Release date:2019/01/21
Issue:537
Number of pages:15
Source:PLOS ONE 10 (2015) 3, Art. e0119165 DOI: 10.1371/journal.pone.0119165
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät
DDC classification:5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer review:Referiert
Publishing method:Open Access
Grantor:Public Library of Science (PLOS)
License (German):License LogoCC-BY - Namensnennung 4.0 International
External remark:Bibliographieeintrag der Originalveröffentlichung/Quelle
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