A New Method for Ordering Functional Data and its Application to Diagnostic Test

DOI10.1007/978-3-030-47756-1_10zbMath1444.62149OpenAlexW3036407957MaRDI QIDQ3300628

Philippe Vieu, Graciela Estevez-Perez

Publication date: 29 July 2020

Published in: Functional and High-Dimensional Statistics and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-47756-1_10

zbMATH Keywords

functional biomarkersapplication to diagnostic testordering functional data

Mathematics Subject Classification ID

Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Order statistics; empirical distribution functions (62G30)

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• An introduction to recent advances in high/infinite dimensional statistics
• A partial overview of the theory of statistics with functional data
• Inference for functional data with applications
• On depth measures and dual statistics. A methodology for dealing with general data
• On the use of the bootstrap for estimating functions with functional data
• The random Tukey depth
• Ordinal principal component analysis. Theory and an application.
• Local linear smoothing of receiver operating characteristic (ROC) curves
• Recent advances in functional data analysis and high-dimensional statistics
• Trimmed means for functional data
• Spatial depth-based classification for functional data
• Functional covariate-adjusted partial area under the specificity-ROC curve with an application to metabolic syndrome diagnosis
• Functional data analysis.
• Nonparametric functional data analysis. Theory and practice.

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