The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Exact post-selection inference, with application to the lasso
Open accessAbstract
We develop a general approach to valid inference after model selection. At the core of our framework is a result that characterizes the distribution of a post-selection estimator conditioned on the selection event. We specialize the approach to model selection by the lasso to form valid confidence intervals for the selected coefficients and test whether all relevant variables have been included in the model.
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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
False Discovery Rate–Adjusted Multiple Confidence Intervals for Selected Parameters
Benjamini, Y., & Yekutieli, D. (2005) · Journal of the American Statistical Association · doi:10.1198/016214504000001907 · Cited by 671
A significance test for the lasso
Lockhart, R., Taylor, J., Tibshirani, R. J., & Tibshirani, R. (2014) · The Annals of Statistics · doi:10.1214/13-aos1175 · Cited by 541
Self-citation
Cited by
Principles of confounder selection
VanderWeele, T. J. (2019) · European Journal of Epidemiology · doi:10.1007/s10654-019-00494-6 · Cited by 1,535
Distribution-Free Predictive Inference for Regression
Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., & Wasserman, L. (2018) · Journal of the American Statistical Association · doi:10.1080/01621459.2017.1307116 · Cited by 1,049
Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection
Candès, E., Fan, Y., Janson, L., & Lv, J. (2018) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/rssb.12265 · Cited by 632
Cross validation for model selection: A review with examples from ecology
Yates, L. A., Aandahl, Z., Richards, S. A., & Brook, B. W. (2023) · Ecological Monographs · doi:10.1002/ecm.1557 · Cited by 459
Thiecke, M. J., Wutz, G., Muhar, M., Tang, W., Bevan, S., Malysheva, V., Stocsits, R., Neumann, T., Zuber, J., Fraser, P., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107929 · Cited by 177
Metadata
- Authors
- Lee, J. D., Sun, D. L., Sun, Y., & Taylor, J. E.
- Venue
- The Annals of Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 2016-06-01
- Volume
- 44
- Issue
- 3
- Pages
- 907-927
- ISSN
- 0090-5364 (ISSN-L)
- OpenAlex
- W1535995764
- Cited by
- 501
- References
- 3
- FWCI
- 44.47
- Type
- journal article
- Language
- en
- Open access
- green
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- Lee, J. D., Sun, D. L., Sun, Y., & Taylor, J. E. (2016). Exact post-selection inference, with application to the lasso. The Annals of Statistics. https://doi.org/10.1214/15-aos1371
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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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