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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...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | 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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