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Rejoinder to the discussion on “Exploratory Functional Data Analysis”

Author

Listed:
  • Zhuo Qu

    (Statistics Program, King Abdullah University of Science and Technology
    Department of Biostatistics, St. Jude Children’s Research Hospital)

  • Wenlin Dai

    (Institute of Statistics and Big Data, Renmin University of China)

  • Carolina Euan

    (Lancaster University)

  • Ying Sun

    (Statistics Program, King Abdullah University of Science and Technology)

  • Marc G. Genton

    (Statistics Program, King Abdullah University of Science and Technology)

Abstract

No abstract is available for this item.

Suggested Citation

  • Zhuo Qu & Wenlin Dai & Carolina Euan & Ying Sun & Marc G. Genton, 2025. "Rejoinder to the discussion 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 502-507, June.
    • Handle: RePEc:spr:testjl:v:34:y:2025:i:2:d:10.1007_s11749-025-00976-8
    DOI: 10.1007/s11749-025-00976-8
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    References listed on IDEAS

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    1. Carlo Sguera & Pedro Galeano & Rosa Lillo, 2014. "Spatial depth-based classification for functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(4), pages 725-750, December.
    2. Antonio Elías & Stanislav Nagy, 2025. "Statistical properties of partially observed integrated functional depths," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 34(1), pages 125-150, March.
    3. López-Pintado, Sara & Romo, Juan, 2009. "On the Concept of Depth for Functional Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 718-734.
    4. Cuevas, Antonio & Febrero, Manuel & Fraiman, Ricardo, 2006. "On the use of the bootstrap for estimating functions with functional data," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1063-1074, November.
    5. 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.
    6. Oluwasegun Taiwo Ojo & Antonio Fernández Anta & Rosa E. Lillo & Carlo Sguera, 2022. "Detecting and classifying outliers in big functional data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(3), pages 725-760, September.
    7. B. Martin-Barragan & R.E. Lillo & J. Romo, 2016. "Functional boxplots based on epigraphs and hypographs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(6), pages 1088-1103, May.
    8. Francesca Ieva & Anna Maria Paganoni, 2020. "Component-wise outlier detection methods for robustifying multivariate functional samples," Statistical Papers, Springer, vol. 61(2), pages 595-614, April.
    9. Alba M. Franco-Pereira & Rosa E. Lillo, 2020. "Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(3), pages 651-676, September.
    10. Dai, Wenlin & Genton, Marc G., 2019. "Directional outlyingness for multivariate functional data," Computational Statistics & Data Analysis, Elsevier, vol. 131(C), pages 50-65.
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    Cited by:

    1. Rob J. Hyndman, 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 483-487, June.

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