Methods Inf Med 2014; 53(06): 436-445
DOI: 10.3414/13100122
Original Articles
Schattauer GmbH

Discussion of “The Evolution of Boosting Algorithms” and “Extending Statistical Boosting”

P. Bühlmann
1   Seminar for Statistics, Department of Mathematics, ETH Zürich, Switzerland
,
J. Gertheiss
2   Department of Animal Sciences, Bio-metrics & Bioinformatics Group, Georg-August-University of Göttingen, Göttingen, Germany
3   Center for Statistics, Georg-August-University of Göttingen, Göttingen, Germany
,
S. Hieke
4   Institute for Medical Biometry and Statistics, Medical Center – University of Freiburg, Freiburg, Germany
5   Freiburg Center of Data Analysis and Modelling, University of Freiburg, Freiburg, Germany
,
T. Kneib
6   Chair of Statistics, Georg-August-University of Göttingen, Göttingen, Germany
,
S. Ma
7   Department of Biostatistics, Yale School of Public Health, Yale, USA
,
M. Schumacher
4   Institute for Medical Biometry and Statistics, Medical Center – University of Freiburg, Freiburg, Germany
,
G. Tutz
8   Seminar of Applied Stochastics, Department of Statistics, Ludwig Maximilians University, München, Germany
,
C. -Y. Wang
9   Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
,
Z. Wang
10   Department of Research , Connecticut Children’s Medical Center, Hartford, USA
,
A. Ziegler
11   Institute of Medical Biometry and Statistics, University of Lübeck, University Medical Center Schleswig-Holstein, Lübeck, Germany
12   Center for Clinical Trials, University of Lübeck, Lübeck, Germany School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
› Author Affiliations
Further Information

Publication History

14 November 2014

Publication Date:
20 January 2018 (online)

Summary

This article is part of a For-Discussion-Section of Methods of Information in Medicine about the papers “The Evolution of Boosting Algorithms – From Machine Learning to Statistical Modelling” [1] and “Extending Statistical Boosting – An Overview of Recent Methodological Developments” [2], written by Andreas Mayr and co-authors. It is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the Mayr et al. papers. In sub-sequent issues the discussion can continue through letters to the editor.