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Journal article

Stochastic boosting algorithms

Abstract:

In this article we develop a class of stochastic boosting (SB) algorithms, which build upon the work of Holmes and Pintore (Bayesian Stat. 8, Oxford University Press, Oxford, 2007). They introduce boosting algorithms which correspond to standard boosting (e. g. Bühlmann and Hothorn, Stat. Sci. 22:477-505, 2007) except that the optimization algorithms are randomized; this idea is placed within a Bayesian framework. We show that the inferential procedure in Holmes and Pintore (Bayesian Stat. 8,...

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Publication status:
Published

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Publisher copy:
10.1007/s11222-010-9173-4

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Role:
Author
Journal:
STATISTICS AND COMPUTING
Volume:
21
Issue:
3
Pages:
335-347
Publication date:
2011-07-01
DOI:
EISSN:
1573-1375
ISSN:
0960-3174
Source identifiers:
159360
Language:
English
Keywords:
Pubs id:
pubs:159360
UUID:
uuid:c1fb230a-bc86-4bb6-8627-86ab7011ad81
Local pid:
pubs:159360
Deposit date:
2012-12-19

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