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Comments on: exploratory functional data analysis

Author

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  • Anna Maria Paganoni

    (Politecnico di Milano)

  • Laura M. Sangalli

    (Politecnico di Milano)

Abstract

The paper “Exploratory Functional Data Analysis” provides a comprehensive review of recent exploratory approaches for functional data, highlighting the challenges posed by the high dimensionality and complexity of these data objects. Here, we further comment on challenging aspects for the exploratory analysis of these data, which present opportunities for future research.

Suggested Citation

  • Anna Maria Paganoni & Laura M. Sangalli, 2025. "Comments on: exploratory functional data analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 34(2), pages 498-501, June.
    • Handle: RePEc:spr:testjl:v:34:y:2025:i:2:d:10.1007_s11749-025-00969-7
    DOI: 10.1007/s11749-025-00969-7
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    References listed on IDEAS

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    1. Simone Vantini, 2012. "On the definition of phase and amplitude variability in functional data analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(4), pages 676-696, December.
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    11. Marco Stefanucci & Laura M. Sangalli & Pierpaolo Brutti, 2018. "PCA‐based discrimination of partially observed functional data, with an application to AneuRisk65 data set," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(3), pages 246-264, August.
    12. Letizia Clementi & Eleonora Arnone & Marco D Santambrogio & Silvana Franceschetti & Ferruccio Panzica & Laura M Sangalli, 2023. "Anatomically compliant modes of variations: New tools for brain connectivity," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-16, November.
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