Use this link to cite:
http://hdl.handle.net/2183/40086 A New Method for Ordering Functional Data and its Application to Diagnostic Test
Loading...
Identifiers
Publication date
Authors
Advisors
Other responsabilities
Journal Title
Bibliographic citation
Estévez-Pérez, G., Vieu, P. (2020). A New Method for Ordering Functional Data and its Application to Diagnostic Test. In: Aneiros, G., Horová, I., Hušková, M., Vieu, P. (eds) Functional and High-Dimensional Statistics and Related Fields. IWFOS 2020. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-47756-1_10
Type of academic work
Academic degree
Abstract
[Abstract] This contribution proposes a new ordering method for functional data which could be a starting point for developing new advances in problems for which the ordering of curves is of interest. This method is used to construct a diagnostic test, based on the functional version of ROC curves, for situations when the observed biomarker is a functional variable.
Description
Contribution presented at the Fifth International Workshop on Functional and Operatorial Statistics (IWFOS) in Brno, Czech Republic (2020).
This is an accepted version of the published document. This version of the document has been accepted for publication, after peer review (when applicable, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-47756-1_10.
This is an accepted version of the published document. This version of the document has been accepted for publication, after peer review (when applicable, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-47756-1_10.
Editor version
Rights
© 2020, Springer Nature Switzerland AG. Subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-science/policies/accepted-manuscript-terms)