Effects of Bagging and bias correction on estimators defined by estimating equations

Statistica Sinica

Volumn 13, Issue 1, 2003, Pages 97-109

  Chen, Song Xi ^a   Hall, Peter ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Bootstrap; Estimating function; Jackknife; Maximum likelihood; Mean square error; Parametric bootstrap

Indexed keywords

EID: 0038036612     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Breiman, L. (1996). Bagging predictors. Mach. Learning 24, 123-140.
2. Breiman, L. (1999). Using adaptive bagging to debias regressions. Technical Report No. 547, Department of Statistics, University of California, Berkeley
3. Bühlmann, P. and Yu, B. (2002). Analyzing bagging. Ann. Statist. 30, 927-961.
4. Buja, A. and Stuetzle, W. (2000a). Bagging does not always decrease mean square error. Preprint.
5. Buja, A. and Stuetzle, W. (2000b). Smoothing effects of bagging. Preprint.
6. Friedman, J. H. and Hall, P. (2000). On bagging and nonlinear estimation. Preprint.