On the complexity of functional data: A small ball probability approach

Enea Giuseppe BONGIORNO; Aldo GOIA; Philippe Vieu

On the complexity of functional data: A small ball probability approach

Enea Giuseppe BONGIORNO, Aldo GOIA, Philippe Vieu

Dipartimento di Studi per l'Economia e l'Impresa

Risultato della ricerca: Contributo alla conferenza › Abstract › peer review

Lingua originale	Inglese
Pagine	119-119
Numero di pagine	1
Stato di pubblicazione	Pubblicato - 2020
Evento	13th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (Virtual CMStatistics 2020) - London Durata: 1 gen 2020 → …

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	13th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (Virtual CMStatistics 2020)
Città	London
Periodo	1/01/20 → …

Accesso al documento

https://hdl.handle.net/11579/146681

Altri file e collegamenti

handle

Cita questo

BONGIORNO, E. G., GOIA, A., & Vieu, P. (2020). On the complexity of functional data: A small ball probability approach. 119-119. Abstract da 13th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (Virtual CMStatistics 2020), London. https://hdl.handle.net/11579/146681

@conference{c63fcba16aa544f99f923b957657c8f1,

title = "On the complexity of functional data: A small ball probability approach",

author = "BONGIORNO, {Enea Giuseppe} and Aldo GOIA and Philippe Vieu",

year = "2020",

language = "English",

pages = "119--119",

note = "13th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (Virtual CMStatistics 2020) ; Conference date: 01-01-2020",

}

BONGIORNO, EG , GOIA, A & Vieu, P 2020, 'On the complexity of functional data: A small ball probability approach', 13th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (Virtual CMStatistics 2020), London, 1/01/20 pagg. 119-119. <https://hdl.handle.net/11579/146681>

On the complexity of functional data: A small ball probability approach. / BONGIORNO, Enea Giuseppe ; GOIA, Aldo; Vieu, Philippe.
2020. 119-119 Abstract da 13th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (Virtual CMStatistics 2020), London.

Risultato della ricerca: Contributo alla conferenza › Abstract › peer review

TY - CONF

T1 - On the complexity of functional data: A small ball probability approach

AU - BONGIORNO, Enea Giuseppe

AU - GOIA, Aldo

AU - Vieu, Philippe

PY - 2020

Y1 - 2020

UR - https://iris.uniupo.it/handle/11579/146681

M3 - Abstract

SP - 119

EP - 119

T2 - 13th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (Virtual CMStatistics 2020)

Y2 - 1 January 2020

ER -