The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
More Comments on Cp
Abstract
I study the typical configuration of a Cp plot when the number of variables in the regression problem is large and there are many weak effects. I show that a particular configuration that is very commonly seen can arise in a simple way. I give a formula by means of which the risk incurred by the “minimum CP ” rule can be estimated.
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Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
Variable Selection via Gibbs Sampling
George, E. I., & McCulloch, R. E. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476353 · Cited by 2,828
Cited by
Efron, B., Hastie, T., Johnstone, I., & Tibshirani, R. (2004) · The Annals of Statistics · doi:10.1214/009053604000000067 · Cited by 9,357
Regression and time series model selection in small samples
HURVICH, C. M., & TSAI, C.-L. (1989) · Biometrika · doi:10.1093/biomet/76.2.297 · Cited by 6,586
Craven, P., & Wahba, G. (1978) · Numerische Mathematik · doi:10.1007/bf01404567 · Cited by 3,388
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Wager, S., & Athey, S. (2018) · Journal of the American Statistical Association · doi:10.1080/01621459.2017.1319839 · Cited by 2,917
Linear Model Selection by Cross-validation
Shao, J. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476299 · Cited by 1,790
Metadata
- Authors
- Mallows, C. L.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1995-11
- Volume
- 37
- Issue
- 4
- Pages
- 362-372
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W1506069954
- Cited by
- 2,083
- References
- 2
- FWCI
- 57.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mallows, C. L. (1995). More Comments on Cp. Technometrics. https://doi.org/10.1080/00401706.1995.10484370
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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.
