The DOI matches its Crossref record.
Asymptotics for and against cross-validation
Abstract
The asymptotic consistency of cross-validatory assessment and the asymptotic efficiency of cross-validatory choice is investigated both in some generality and also in the context of particular applications.
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Citations
Cited by
Wolpert, D. H. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80023-1 · Cited by 7,951
Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test,
McCrary, J. (2008) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.005 · Cited by 3,600
A survey of cross-validation procedures for model selection
Arlot, S., & Celisse, A. (2010) · Statistics Surveys · doi:10.1214/09-ss054 · Cited by 3,522
Estimating the error rate of a prediction rule: improvement on cross-validation
Efron, B. (1983) · Journal of the American Statistical Association · doi:10.1080/01621459.1983.10477973 · Cited by 2,300
Gene-expression profiles predict survival of patients with lung adenocarcinoma
Beer, D. G., Kardia, S. L. R., Huang, C.-C., Giordano, T. J., Levin, A. M., Misek, D. E., Lin, L., Chen, G., Gharib, T. G., Thomas, D. G., et al. (2002) · Nature Medicine · doi:10.1038/nm733 · Cited by 2,025
Metadata
- Authors
- STONE, M.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1977
- Volume
- 64
- Issue
- 1
- Pages
- 29-35
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2063261057
- Cited by
- 264
- References
- 0
- FWCI
- 0.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Asymptotics for and against cross-validation. https://app.cochat.ai/papers/10.1093/biomet/64.1.29
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- STONE, M. (1977). Asymptotics for and against cross-validation. Biometrika. https://doi.org/10.1093/biomet/64.1.29
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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.
