Boosting functional response models for location, scale and shape with an application to bacterial competition
| العنوان: | Boosting functional response models for location, scale and shape with an application to bacterial competition |
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| المؤلفون: | Sarah Brockhaus, Sonja Greven, Madeleine Opitz, Sophia Anna Schaffer, Benedikt von Bronk, Almond Stöcker |
| المصدر: | Statistical Modelling. 21:385-404 |
| بيانات النشر: | SAGE Publications, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, Statistics and Probability, Boosting (machine learning), functional regression, Generalized additive model, Functional response, Distributional regression, 510 Mathematik, bacterial growth, Statistics - Applications, Regression, Methodology (stat.ME), GAMLSS, Applications (stat.AP), Functional regression, ddc:610, ddc:510, Statistics, Probability and Uncertainty, 610 Medizin und Gesundheit, Biological system, Statistics - Methodology, functional data, Mathematics |
| الوصف: | We extend Generalized Additive Models for Location, Scale, and Shape (GAMLSS) to regression with functional response. This allows us to simultaneously model point-wise mean curves, variances and other distributional parameters of the response in dependence of various scalar and functional covariate effects. In addition, the scope of distributions is extended beyond exponential families. The model is fitted via gradient boosting, which offers inherent model selection and is shown to be suitable for both complex model structures and highly auto-correlated response curves. This enables us to analyze bacterial growth in \textit{Escherichia coli} in a complex interaction scenario, fruitfully extending usual growth models. Comment: bootstrap confidence interval type uncertainty bounds added; minor changes in formulations |
| وصف الملف: | application/pdf |
| تدمد: | 1477-0342 1471-082X |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd6893efae050aa8060dba437b73bdf5Test https://doi.org/10.1177/1471082x20917586Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....cd6893efae050aa8060dba437b73bdf5 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14770342 1471082X |
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