Kernel Density Estimators for Gaussian Mixture Models
The problem of nonparametric estimation of probability density function is considered. The performance of kernel estimators based on various common kernels and a new kernel K (see (14)) with both fixed and adaptive smoothing bandwidth is compared in terms of the symmetric mean absolute percentage e...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Lietuvos statistikų sąjunga, Lietuvos statistikos departamentas
2013-12-01
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| Edice: | Lithuanian Journal of Statistics |
| Témata: | |
| On-line přístup: | https://www.journals.vu.lt/statisticsjournal/article/view/13919 |
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