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

Department of Economics and Business Studies

Research output: Contribution to conference › Paper › 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.

Original language	English
Pages	243-247
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-031-64431-3_41
Publication status	Published - 2025
Event	The 52nd Scientific Meeting of the Italian Statistical Society - Bari Duration: 1 Jan 2025 → …

Conference

Conference	The 52nd Scientific Meeting of the Italian Statistical Society
City	Bari
Period	1/01/25 → …

Keywords

Small-ball probability
complexity index
degrees of freedom

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

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

Cite this

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KW - degrees of freedom

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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

Conference

Keywords

Access to Document

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