Gradient boosting for linear mixed models
Author:
Affiliation:
1. Department of Medical Informatics, Biometry and Epidemiology , Friedrich-Alexander-Universität Erlangen-Nürnberg , Erlangen , Germany
2. Chair of Statistics , Georg-August-Universität Göttingen , Göttingen , Germany
Abstract
Funder
DFG
Volkswagen Foundation
Publisher
Walter de Gruyter GmbH
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Link
https://www.degruyter.com/document/doi/10.1515/ijb-2020-0136/pdf
Reference41 articles.
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3. Wahba, G. A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem. Ann Stat 1985;13:1378–402. doi:https://doi.org/10.1214/aos/1176349743.
4. Wood, S. Generalized additive models: an introduction with R, 2nd ed. Boca Raton, FL: Chapman and Hall/CRC; 2017.
5. Bates, D, Mächler, M, Bolker, B, Walker, S. Fitting linear mixed-effects models using lme4. J Stat Software 2015;67:1–48. https://doi.org/10.18637/jss.v067.i01.
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