Conference item

Bayesian partition modelling

Abstract:: This paper reviews recent ideas in Bayesian classification modelling via partitioning. These methods provide predictive estimates for class assignments using averages of a sample of models generated from the posterior distribution of the model parameters. We discuss modifications to the basic approach more suitable for problems when there are many predictor variables and/or a large training smple. © 2002 Elsevier Science B.V. All rights reserved.

Publication status:: Published

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APA Style

Denison, D., Adams, N., Holmes, C., & Hand, D. (2002). Bayesian partition modelling. 38(4), 475–485.

MLA Style

Denison, D, et al. “Bayesian Partition Modelling.” vol. 38, no. 4, 2002, pp. 475–85.

Chicago Style

Denison, D, N Adams, C Holmes, and D Hand. 2002. “Bayesian Partition Modelling.” 38 (4): 475–85.
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Publisher copy:: 10.1016/S0167-9473(01)00073-1

Authors

+ Denison, D More by this author

Role:: Author

+ Adams, N More by this author

Role:: Author

+ Holmes, C More by this author

Institution:: University of Oxford
Division:: MSD
Department:: NDM
Role:: Author

+ Hand, D More by this author

Role:: Author

Host title:: COMPUTATIONAL STATISTICS and DATA ANALYSIS
Volume:: 38
Issue:: 4
Pages:: 475-485
Publication date:: 2002-02-28
DOI:: 10.1016/S0167-9473(01)00073-1
ISSN:: 0167-9473

Keywords:: Bayesian model averaging

classification

partitioning

Markov chain Monte Carlo
Pubs id:: pubs:104769
UUID:: uuid:c05f1ff1-a23f-4755-a630-faf9addc2fcf
Local pid:: pubs:104769
Source identifiers:: 104769
Deposit date:: 2012-12-19
ARK identifier:: ark:/29072/ora_c05f1ff1a23f4755a630faf9addc2fcf

Terms of use

Copyright date:: 2002

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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