Full Citation
Title: Generalized bootstrap for estimators of minimizers of convex functions
Citation Type: Journal Article
Publication Year: 2003
ISBN:
ISSN: 0378-3758
DOI: 10.1016/S0378-3758(02)00386-5
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Abstract: We introduce a generalized bootstrap technique for estimators obtained by minimizing functions that are convex in the parameter. We establish the consistency of these schemes via representation theorems. A number of classical resampling schemes, like the delete-d jackknife may be treated as special cases of this generalized bootstrap; and new ways of resampling are also introduced. Some of the schemes are computationally more efficient than classical techniques.
Url: https://www.sciencedirect.com/science/article/pii/S0378375802003865?via%3Dihub
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Authors: Bose, Arup; Chatterjee, Snigdhansu
Periodical (Full): Journal of Statistical Planning and Inference
Issue: 2
Volume: 117
Pages: 225-239
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