Journal article icon

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,...

Expand abstract
Publication status:
Published

Actions


Access Document


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

Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics, Clinical Medicine
Role:
Author
Journal:
STATISTICS AND COMPUTING
Volume:
21
Issue:
3
Pages:
335-347
Publication date:
2011-07-05
DOI:
EISSN:
1573-1375
ISSN:
0960-3174
URN:
uuid:c1fb230a-bc86-4bb6-8627-86ab7011ad81
Source identifiers:
159360
Local pid:
pubs:159360

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP