Studying a mixture of functional data having different complexity

Enea Giuseppe BONGIORNO; Kwo Lik CHAN; Aldo GOIA

doi:10.1007/978-3-031-64431-3_41

Studying a mixture of functional data having different complexity

Enea Giuseppe BONGIORNO, Kwo Lik CHAN, Aldo GOIA

Dipartimento di Studi per l'Economia e l'Impresa

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer review

Abstract

This paper presents the problem of distinguishing the components of a functional data process whose components have different complexities. A heuristic strategy is proposed whose performance is measured by simulations.

Lingua originale	Inglese
Pagine	243-247
Numero di pagine	5
DOI	https://doi.org/10.1007/978-3-031-64431-3_41
Stato di pubblicazione	Pubblicato - 2025
Evento	The 52nd Scientific Meeting of the Italian Statistical Society - Bari Durata: 1 gen 2025 → …

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???event.eventtypes.event.conference???	The 52nd Scientific Meeting of the Italian Statistical Society
Città	Bari
Periodo	1/01/25 → …

Keywords

Small-ball probability
complexity index
degrees of freedom

Accesso al documento

10.1007/978-3-031-64431-3_41

https://hdl.handle.net/11579/182263

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title = "Studying a mixture of functional data having different complexity",

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author = "BONGIORNO, \{Enea Giuseppe\} and CHAN, \{Kwo Lik\} and Aldo GOIA",

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KW - complexity index

KW - degrees of freedom

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Studying a mixture of functional data having different complexity

Abstract

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Keywords

Accesso al documento

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