The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bandwidth Choice for Nonparametric Regression
Open accessAbstract
This paper is concerned with the problem of choosing a bandwidth parameter for nonparametric regression. We analyze a tapered Fourier series estimate and discuss the relationship of this estimate to a kernel estimate. We first consider a method based on an unbiased estimate of mean square error, and show that the bandwidth thus chosen is asymptotically optimal. Other methods are examined as well and are shown to be asymptotically equivalent. A small simulation shows, however, that for small or moderate sample size, the methods perform quite differently.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Craven, P., & Wahba, G. (1978) · Numerische Mathematik · doi:10.1007/bf01404567 · Cited by 3,388
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
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
Chapter 38 Applied nonparametric methods
Härdle, W., & Linton, O. (1994) · Handbook of Econometrics · doi:10.1016/s1573-4412(05)80007-8 · Cited by 325
Semiparametric estimation of a hedonic price function
Anglin, P. M., & Gençay, R. (1996) · Journal of Applied Econometrics · doi:10.1002/(sici)1099-1255(199611)11:6<633::aid-jae414>3.0.co;2-t · Cited by 222
Theoretical and experimental analysis links isoform-specific ERK signalling to cell fate decisions
Schilling, M., Maiwald, T., Hengl, S., Winter, D., Kreutz, C., Kolch, W., Lehmann, W. D., Timmer, J., & Klingmüller, U. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.91 · Cited by 79
Metadata
- Authors
- Rice, J.
- Venue
- The Annals of Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1984-12-01
- Volume
- 12
- Issue
- 4
- ISSN
- 0090-5364 (ISSN-L)
- OpenAlex
- W1976834773
- Cited by
- 684
- References
- 1
- FWCI
- 10.91
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bandwidth Choice for Nonparametric Regression. https://app.cochat.ai/papers/10.1214/aos/1176346788
- The paper
- Rice, J. (1984). Bandwidth Choice for Nonparametric Regression. The Annals of Statistics. https://doi.org/10.1214/aos/1176346788
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
