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Estimating Mixture of Gaussian Processes by Kernel Smoothing
When the functional data are not homogeneous, e.g., there exist multiple classes of functional curves in the dataset, traditional estimation methods may fail. In this paper, we propose a new estimation procedure for the Mixture of Gaussian Processes, to incorporate both functional and inhomogeneous...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4068740/ https://ncbi.nlm.nih.gov/pubmed/24976675 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/07350015.2013.868084 |
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