SUPERLEARNER Procedure
References
Breiman, L. (1996). “Stacked Regressions.” Machine Learning 24:49–64.
Dudoit, S., and van der Laan, M. J. (2005). “Asymptotics of Cross-Validated Risk Estimation in Estimator Selection and Performance Assessment.” Statistical Methodology 2:131–154.
Hernán, M. A., and Robins, J. M. (2020). Causal Inference: What If. Boca Raton, FL: Chapman & Hall/CRC.
Lane, P. W., and Nelder, J. A. (1982). “Analysis of Covariance and Standardization as Instances of Prediction.” Biometrics 38:613–621.
Lawless, J. F., and Singhal, K. (1978). “Efficient Screening of Nonnormal Regression Models.” Biometrics 34:318–327.
Naimi, A. I., and Balzer, L. B. (2018). “Stacked Generalization: An Introduction to Super Learning.” European Journal of Epidemiology 33:459–464.
Phillips, R. V., van der Laan, M. J., Lee, H., and Gruber, S. (2023). “Practical Considerations for Specifying a Super Learner.” International Journal of Epidemiology 52:1276–1285.
Van der Laan, M. J., and Dudoit, S. (2003). Unified Cross-Validation Methodology for Selection among Estimators and a General Cross-Validated Adaptive Epsilon-Net Estimator: Finite Sample Oracle Inequalities and Examples. UC Berkeley Division of Biostatistics Working Paper Series, No. 130, University of California Berkeley.
Van der Laan, M. J., Polley, E. C., and Hubbard, A. E. (2007). “Super Learner.” Statistical Applications in Genetics and Molecular Biology 6:25.
Van der Laan, M. J., and Rose, S. (2011). Targeted Learning: Causal Inference for Observational and Experimental Data. New York: Springer.
Van der Vaart, A. W., Dudoit, S., and van der Laan, M. J. (2006). “Oracle Inequalities for Multi-fold Cross Validation.” Statistics and Decisions 24:351–371.
Wolpert, D. H. (1992). “Stacked Generalization.” Neural Networks 5:241–259.
Zou, H., and Hastie, T. (2005). “Regularization and Variable Selection via the Elastic Net.” Journal of the Royal Statistical Society, Series B 67:301–320.