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Jingyi Kenneth Tay, Balasubramanian Narasimhan, Trevor J. Hastie
The lasso and elastic net are popular regularized regression models for supervised learning. Friedman, Hastie, and Tibshirani (2010) introduced a computationally efficient algorithm for computing the elastic net regularization path for ordinary least squares regression, logistic regression and multinomial logistic regression, while Simon, Friedman, Hastie, and Tibshirani (2011) extended this work to Cox models for right-censored data. We further extend the reach of the elastic net-regularized regression to all generalized linear model families, Cox models with (start, stop] data and strata, and a simplified version of the relaxed lasso. We also discuss convenient utility functions for measuring the performance of these fitted models.
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Tay, J. K., Narasimhan, B., & Hastie, T. J. (2023). Elastic Net Regularization Paths for All Generalized Linear Models. Journal of Statistical Software, 106(1). https://doi.org/10.18637/jss.v106.i01
Tay, Jingyi Kenneth, et al. "Elastic Net Regularization Paths for All Generalized Linear Models." Journal of Statistical Software, vol. 106, no. 1, 2023, https://doi.org/10.18637/jss.v106.i01.
Tay, Jingyi Kenneth, Balasubramanian Narasimhan, and Trevor J. Hastie. "Elastic Net Regularization Paths for All Generalized Linear Models." Journal of Statistical Software 106, no. 1 (2023). https://doi.org/10.18637/jss.v106.i01.
Tay J. K., Narasimhan B., Hastie T. J. Elastic Net Regularization Paths for All Generalized Linear Models // Journal of Statistical Software. — 2023. — Vol. 106, № 1. — URL: https://doi.org/10.18637/jss.v106.i01
@article{tay2023elastic,
title = {{Elastic Net Regularization Paths for All Generalized Linear Models}},
author = {Jingyi Kenneth Tay and Balasubramanian Narasimhan and Trevor J. Hastie},
journal = {Journal of Statistical Software},
year = {2023},
volume = {106},
number = {1},
doi = {10.18637/jss.v106.i01},
url = {https://doi.org/10.18637/jss.v106.i01}
}TY - JOUR AU - Tay, Jingyi Kenneth AU - Narasimhan, Balasubramanian AU - Hastie, Trevor J. TI - Elastic Net Regularization Paths for All Generalized Linear Models JO - Journal of Statistical Software VL - 106 IS - 1 PY - 2023 DA - 2023/01/01 DO - 10.18637/jss.v106.i01 UR - https://doi.org/10.18637/jss.v106.i01 ER -
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