The Annals of Statistics

Discussions of boosting papers, and rejoinders

Peter L. Bartlett, Peter J. Bickel, Peter Bühlmann, Yoav Freund, Jerome Friedman, Trevor Hastie, Wenxin Jiang, Michael J. Jordan, Vladimir Koltchinskii, Gábor Lugosi, Jon D. McAuliffe, Ya'acov Ritov, Saharan Rosset, Robert E. Schapire, Robert Tibshirani, Nicolas Vayatis, Bin Yu, Tong Zhang, and Ji Zhu

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Discussions of: "Process consistency for AdaBoost" [Ann. Statist. 32 (2004), no. 1, 13-29] by W. Jiang; "On the Bayes-risk consistency of regularized boosting methods" [ibid., 30-55] by G. Lugosi and N. Vayatis; and "Statistical behavior and consistency of classification methods based on convex risk minimization" [ibid., 56-85] by T. Zhang. Includes rejoinders by the authors.

Article information

Ann. Statist., Volume 32, Number 1 (2004), 85-134.

First available in Project Euclid: 12 March 2004

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Digital Object Identifier

Mathematical Reviews number (MathSciNet)

Primary: 62H30: Classification and discrimination; cluster analysis [See also 68T10, 91C20]
Secondary: 68T05: Learning and adaptive systems [See also 68Q32, 91E40]



Bartlett, Peter L.; Bickel, Peter J.; Bühlmann, Peter; Freund, Yoav; Friedman, Jerome; Hastie, Trevor; Jiang, Wenxin; Jordan, Michael J.; Koltchinskii, Vladimir; Lugosi, Gábor; McAuliffe, Jon D.; Ritov, Ya'acov; Rosset, Saharan; Schapire, Robert E.; Tibshirani, Robert; Vayatis, Nicolas; Yu, Bin; Zhang, Tong; Zhu, Ji. Discussions of boosting papers, and rejoinders. Ann. Statist. 32 (2004), no. 1, 85--134. doi:10.1214/aos/1105988581.

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