The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Optimal Bandwidth Selection in Nonparametric Regression Function Estimation
Open accessAbstract
Kernel estimators of an unknown multivariate regression function are investigated. A bandwidth-selection rule is considered, which can be formulated in terms of cross validation. Under mild assumptions on the kernel and the unknown regression function, it is seen that this rule is asymptotically optimal.
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Citations
Cites
Nadaraya, E. A. (1964) · Theory of Probability & Its Applications · doi:10.1137/1109020 · Cited by 3,462
Cited by
Kernel Smoothing in Partial Linear Models
Speckman, P. (1988) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1988.tb01738.x · Cited by 986
BURMAN, P. (1989) · Biometrika · doi:10.1093/biomet/76.3.503 · Cited by 634
How Far are Automatically Chosen Regression Smoothing Parameters from their Optimum?
Härdle, W., Hall, P., & Marron, J. S. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478568 · Cited by 401
Self-citationChapter 38 Applied nonparametric methods
Härdle, W., & Linton, O. (1994) · Handbook of Econometrics · doi:10.1016/s1573-4412(05)80007-8 · Cited by 325
Metadata
- Authors
- Hardle, W., & Marron, J. S.
- Venue
- The Annals of Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1985-12-01
- Volume
- 13
- Issue
- 4
- ISSN
- 0090-5364 (ISSN-L)
- OpenAlex
- W2024983310
- Cited by
- 434
- References
- 1
- FWCI
- 10.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Hardle, W., & Marron, J. S. (1985). Optimal Bandwidth Selection in Nonparametric Regression Function Estimation. The Annals of Statistics. https://doi.org/10.1214/aos/1176349748
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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