| Publikationstyp: | Konferenz: Sonstiges |
| Art der Begutachtung: | Keine Angabe |
| Titel: | Functional data analysis in Bayes spaces with an application to spatio-temporal population data |
| Autor/-in: | Templ, Matthias |
| et. al: | No |
| Tagungsband: | uRos 2020 Abstracts |
| Angaben zur Konferenz: | Use of R in Official Statistics 2020 : 8th international conference, virtual, 2-4 December 2020 |
| Erscheinungsdatum: | 2020 |
| Verlag / Hrsg. Institution: | Statistik Austria |
| Sprache: | Englisch |
| Schlagwörter: | Functional data analysis; Compositional data analysis; Probability density functions |
| Fachgebiet (DDC): | 005: Computerprogrammierung, Programme und Daten |
| Zusammenfassung: | Probability density functions are frequently used to characterize the distributional properties of large-scale database systems. As functional compositions, densities carry primarily relative information. As such, standard methods of functional data analysis (FDA) are not appropriate for their statistical processing and thus a compositional alternative is proposed. The aim of this presentation is to outline a concise methodology for functional principal component analysis of densities based on the geometry of the Bayes space B2 of functional compositions. Advances of the proposed approach are demonstrated using a real-world example of population pyramids in Upper Austria. For compositional analysis we also introduce the R package robCompositions. |
| Weitere Angaben: | Keynote |
| URI: | https://uros.hopto.org/ https://digitalcollection.zhaw.ch/handle/11475/22002 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Datenanalyse und Prozessdesign (IDP) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
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Zur Langanzeige
Templ, M. (2020). Functional data analysis in Bayes spaces with an application to spatio-temporal population data. uRos 2020 Abstracts. https://uros.hopto.org/
Templ, M. (2020) ‘Functional data analysis in Bayes spaces with an application to spatio-temporal population data’, in uRos 2020 Abstracts. Statistik Austria. Available at: https://uros.hopto.org/.
M. Templ, “Functional data analysis in Bayes spaces with an application to spatio-temporal population data,” in uRos 2020 Abstracts, 2020. [Online]. Available: https://uros.hopto.org/
TEMPL, Matthias, 2020. Functional data analysis in Bayes spaces with an application to spatio-temporal population data. In: uRos 2020 Abstracts [online]. Conference presentation. Statistik Austria. 2020. Verfügbar unter: https://uros.hopto.org/
Templ, Matthias. 2020. “Functional Data Analysis in Bayes Spaces with an Application to Spatio-Temporal Population Data.” Conference presentation. In uRos 2020 Abstracts. Statistik Austria. https://uros.hopto.org/.
Templ, Matthias. “Functional Data Analysis in Bayes Spaces with an Application to Spatio-Temporal Population Data.” uRos 2020 Abstracts, Statistik Austria, 2020, https://uros.hopto.org/.
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