Nonparametric density estimation using a multidimensional mixture model of Gaussian distributions
This paper algorithmically and empirically studies five major types of nonparametric multivariate density estimation techniques, where no assumption is made about data being drawn from any of known parametric families of distribution. There is developed method of inversion formula where noise clust...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Vilnius University Press
2005-12-01
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| Серии: | Lietuvos Matematikos Rinkinys |
| Предметы: | |
| Online-ссылка: | https://www.journals.vu.lt/LMR/article/view/30856 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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