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EEBoost: A General Method for Prediction and Variable Selection Based on Estimating Equations

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  • Wolfson, Julian

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  • Wolfson, Julian, 2011. "EEBoost: A General Method for Prediction and Variable Selection Based on Estimating Equations," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 296-305.
    • Handle: RePEc:bes:jnlasa:v:106:i:493:y:2011:p:296-305
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    Cited by:

    1. Vaughan, Gregory, 2020. "Efficient big data model selection with applications to fraud detection," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1116-1127.
    2. Gregory Vaughan & Robert Aseltine & Kun Chen & Jun Yan, 2017. "Stagewise generalized estimating equations with grouped variables," Biometrics, The International Biometric Society, vol. 73(4), pages 1332-1342, December.
    3. Li‐Pang Chen & Bangxu Qiu, 2023. "Analysis of length‐biased and partly interval‐censored survival data with mismeasured covariates," Biometrics, The International Biometric Society, vol. 79(4), pages 3929-3940, December.
    4. Liang, Lixing & Zhuang, Yipeng & Yu, Philip L.H., 2024. "Variable selection for high-dimensional incomplete data," Computational Statistics & Data Analysis, Elsevier, vol. 192(C).

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