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Stochastic Approximation Boosting for Incomplete Data Problems

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  • Joseph Sexton
  • Petter Laake

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  • Joseph Sexton & Petter Laake, 2009. "Stochastic Approximation Boosting for Incomplete Data Problems," Biometrics, The International Biometric Society, vol. 65(4), pages 1156-1163, December.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:4:p:1156-1163
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01202.x
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    References listed on IDEAS

    as
    1. Gerhard Tutz & Harald Binder, 2006. "Generalized Additive Modeling with Implicit Variable Selection by Likelihood-Based Boosting," Biometrics, The International Biometric Society, vol. 62(4), pages 961-971, December.
    2. Joseph G. Ibrahim & Ming-Hui Chen & Stuart R. Lipsitz, 1999. "Monte Carlo EM for Missing Covariates in Parametric Regression Models," Biometrics, The International Biometric Society, vol. 55(2), pages 591-596, June.
    3. Simon N. Wood, 2004. "Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 673-686, January.
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    Cited by:

    1. Li, Zhengbang & Li, Qizhai & Han, Chien-Pai & Li, Bo, 2014. "A hybrid approach for regression analysis with block missing data," Computational Statistics & Data Analysis, Elsevier, vol. 75(C), pages 239-247.

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