Reducing bias in nonparametric density estimation via bandwidth dependent kernels: L1 view
| Autores principales: | , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2017
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/148196 |
Ejemplares similares: Reducing bias in nonparametric density estimation via bandwidth dependent kernels: L1 view
- Bias reduction in kernel density estimation via Lipschitz condition
- Consistency and asymptotic normality for a nonparametric prediction under measurement errors
- Parametric versus nonparametric methods in risk scoring: An application to microcredit
- Local exponential frontier estimation
- On functional form representation of multi-output production technologies
- A class of nonparametric density derivative estimators based on global Lipschitz conditions