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Recovering gradients from sparsely observed functional data

The recovery of gradients of sparsely observed functional data is a challenging ill-posed inverse problem. Given observations of smooth curves (e.g., growth curves) at isolated time points, the aim is to provide estimates of the underlying gradients (or growth velocities). To address this problem, w...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Lóez-Pintado, Sara, McKeague, Ian W.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2013
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3718453/
https://ncbi.nlm.nih.gov/pubmed/23409753
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12011
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