Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework

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2015-01-01
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Fortin, Daniel
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Petruţa Caragea
Zhengyuan Zhu
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Altmetrics
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Statistics
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In many instances, it is useful to view data as a collection of curves, particularly when the questions motivating the analysis relate to properties of curves. In this case it makes sense to view the fundamental datum as a curve and refer to the collection of curves as functional data. This work deals with spatial models of functional data, where the underlying smooth curves are assumed to belong to a reproducing kernel Hilbert space. The methodology developed here is illustrated using satellite data of phenological measurements over India.

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Thu Jan 01 00:00:00 UTC 2015