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Modeling Functional Data With Spatially Heterogeneous Shape Characteristics
We propose a novel class of models for functional data exhibiting skewness or other shape characteristics that vary with spatial or temporal location. We use copulas so that the marginal distributions and the dependence structure can be modeled independently. Dependence is modeled with a Gaussian or...
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| Publicat a: | Biometrics |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4292854/ https://ncbi.nlm.nih.gov/pubmed/22050118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2011.01669.x |
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