Functional data analysis in Bayes spaces with an application to spatio-temporal population data

Templ, Matthias

Publication type:	Conference other
Type of review:	Not specified
Title:	Functional data analysis in Bayes spaces with an application to spatio-temporal population data
Authors:	Templ, Matthias
et. al:	No
Proceedings:	uRos 2020 Abstracts
Conference details:	Use of R in Official Statistics 2020 : 8th international conference, virtual, 2-4 December 2020
Issue Date:	2020
Publisher / Ed. Institution:	Statistik Austria
Language:	English
Subjects:	Functional data analysis; Compositional data analysis; Probability density functions
Subject (DDC):	005: Computer programming, programs and data
Abstract:	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.
Further description:	Keynote
URI:	https://uros.hopto.org/ https://digitalcollection.zhaw.ch/handle/11475/22002
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Data Analysis and Process Design (IDP)
Appears in collections:	Publikationen School of Engineering

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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/.