The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Cross-validation for selecting a model selection procedure
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Citations
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
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 17,781
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
John Lu, Z. Q. (2010) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2010.00646_6.x · Cited by 12,390
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
Cross validatory choice and assessment of statistical predictions
Stone, M. (1974) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1974.tb00994.x · Cited by 10,881
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Fan, J., & Li, R. (2001) · Journal of the American Statistical Association · doi:10.1198/016214501753382273 · Cited by 8,900
Nearly unbiased variable selection under minimax concave penalty
Zhang, C.-H. (2010) · The Annals of Statistics · doi:10.1214/09-aos729 · Cited by 3,835
Cited by
Yadav, S., & Shukla, S. (2016) · 2016 IEEE 6th International Conference on Advanced Computing (IACC) · doi:10.1109/iacc.2016.25 · Cited by 773
Multiple predicting K -fold cross-validation for model selection
Jung, Y. (2018) · Journal of Nonparametric Statistics · doi:10.1080/10485252.2017.1404598 · Cited by 499
Developing an optimal short-form of the PTSD Checklist for DSM-5 (PCL-5)
Zuromski, K. L., Ustun, B., Hwang, I., Keane, T. M., Marx, B. P., Stein, M. B., Ursano, R. J., & Kessler, R. C. (2019) · Depression and Anxiety · doi:10.1002/da.22942 · Cited by 206
Tazawa, Y., Liang, K.-C., Yoshimura, M., Kitazawa, M., Kaise, Y., Takamiya, A., Kishi, A., Horigome, T., Mitsukura, Y., Mimura, M., et al. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e03274 · Cited by 101
Johnson, M., Albizri, A., & Harfouche, A. (2023) · Information Systems Frontiers · doi:10.1007/s10796-021-10137-5 · Cited by 88
Metadata
- Authors
- Zhang, Y., & Yang, Y.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 187
- Issue
- 1
- Pages
- 95-112
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W2110118110
- Cited by
- 373
- References
- 45
- FWCI
- 16.35
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cross-validation for selecting a model selection procedure. https://app.cochat.ai/papers/10.1016/j.jeconom.2015.02.006
- The paper
- Zhang, Y., & Yang, Y. (2015). Cross-validation for selecting a model selection procedure. Journal of Econometrics. https://doi.org/10.1016/j.jeconom.2015.02.006
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.
