| Título: | Non and semi-parametric estimation in models with unknown smoothness |
| Autores: |
Zinde-Walsh, Victoria Kotlyarova, Yulia |
| Fecha: |
2006 2006-06-07 |
| Publicador: | McGill University - MCGILL |
| Fuente: |
 |
| Tipo: | Text |
| Tema: |
Nonparametric estimation Combined estimator |
| Descripción: | Many asymptotic results for kernel-based estimators were established under some smoothness assumption on density. For cases where smoothness assumptions that are used to derive unbiasedness or asymptotic rate may not hold we propose a combined estimator that could lead to the best available rate without knowledge of density smoothness. A Monte Carlo example confirms good performance of the combined estimator. |
| Idioma: | eng |
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