Logratio Approach to Distributional Modeling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73610058" target="_blank" >RIV/61989592:15310/21:73610058 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333189945" target="_blank" >https://obd.upol.cz/id_publ/333189945</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-73249-3_23" target="_blank" >10.1007/978-3-030-73249-3_23</a>

Result language
angličtina
Original language name
Logratio Approach to Distributional Modeling
Original language description
Distributional data, such as age distributions of populations, can be treated as continuous or discrete data, but the main interest is in the relative information, e.g., in terms of ratios (or logratios) between the different age classes. Here we present a unifying framework for the discrete and the continuous case based on the theory of Bayes spaces. While the discrete case is more widely treated in the literature, the continuous case allows to make a link to functional data analysis. Moreover, the methodological framework of Bayes spaces can also be used to develop methods for analyzing several distributional variables simultaneously. It turns out that the centered logratio transformation is a convenient tool for practical computations. Two real data examples illustrate the usefulness of this framework.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA19-01768S" target="_blank" >GA19-01768S: Separation of geochemical signals in sediments: application of advanced statistical methods on large geochemical datasets</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)