Geodesic
Some results on statistics and functional data analysis
Sophie Dabo-Niang1 ; Julien Ah-Pine2 ; Pamela Llop3 ; Anne-Francoise Yao4
1 Université de Lille, Laboratoire Painleve, UMR 8524
2 Université de Lyon, Lyon 2, ERIC UR 3083 & Université Clermont Auvergne, LMBP-CMRS, UMR 6620 & Université Clermont Auvergne, CERDI-CNRS-IRD, UMR 6587
3 Facultad de Ingeniería Química - Universidad Nacional del Litoral (UNL) and CONICET, Santa Fe, Argentina
4 Université Clermont Auvergne, LMBP-CMRS, UMR 6620
ESAIM. Proceedings, Tome 74 (2023), pp. 2-18.

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This paper presents some recent results on regression and classification in Functional Data Analysis setting. The first work decated to Multiple kernel SVM for classifying functional data in Sobolev spaces focus on optimization of the information from each derivatives of the original functions, the second work devoted to An input/output-based aggregation rule for functional data classification when the last is interested with the problem of regression if the functional data lives in a finite dimensionnal submanifold.
DOI : 10.1051/proc/202374002

Sophie Dabo-Niang 1 ; Julien Ah-Pine 2 ; Pamela Llop 3 ; Anne-Francoise Yao 4

1 Université de Lille, Laboratoire Painleve, UMR 8524
2 Université de Lyon, Lyon 2, ERIC UR 3083 & Université Clermont Auvergne, LMBP-CMRS, UMR 6620 & Université Clermont Auvergne, CERDI-CNRS-IRD, UMR 6587
3 Facultad de Ingeniería Química - Universidad Nacional del Litoral (UNL) and CONICET, Santa Fe, Argentina
4 Université Clermont Auvergne, LMBP-CMRS, UMR 6620 
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     title = {Some results on statistics and functional data analysis},
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Sophie Dabo-Niang; Julien Ah-Pine; Pamela Llop; Anne-Francoise Yao. Some results on statistics and functional data analysis. ESAIM. Proceedings, Tome 74 (2023), pp. 2-18. doi : 10.1051/proc/202374002. http://geodesic.mathdoc.fr/articles/10.1051/proc/202374002/

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