Introducing BACCO, an R bundle for Bayesian analysis of computer code output
Introducing BACCO, an R bundle for Bayesian analysis of computer code output
This paper introduces the BACCO bundle of R routines for carrying out Bayesian analysis of computer code output. The bundle comprises packages emulator and calibrator, computerized implementations of the ideas of Oakley and O’Hagan (2002) and Kennedy and O’Hagan (2001a) respectively. The bundle is self-contained and fully documented R code, and includes a toy dataset that furnishes a working example of the functions. Package emulator carries out Bayesian emulation of computer code output; package calibrator allows the incorporation of observational data into model calibration using Bayesian techniques.
The package is then applied to a dataset taken from climate science.
Bayesian analysis, climate modelling, uncertainty in climate prediction
21pp
Hankin, R.K.S.
296864a6-e423-44b6-ad0e-25422c913540
2005
Hankin, R.K.S.
296864a6-e423-44b6-ad0e-25422c913540
Hankin, R.K.S.
(2005)
Introducing BACCO, an R bundle for Bayesian analysis of computer code output.
Journal of Statistical Software, 14 (16), .
Abstract
This paper introduces the BACCO bundle of R routines for carrying out Bayesian analysis of computer code output. The bundle comprises packages emulator and calibrator, computerized implementations of the ideas of Oakley and O’Hagan (2002) and Kennedy and O’Hagan (2001a) respectively. The bundle is self-contained and fully documented R code, and includes a toy dataset that furnishes a working example of the functions. Package emulator carries out Bayesian emulation of computer code output; package calibrator allows the incorporation of observational data into model calibration using Bayesian techniques.
The package is then applied to a dataset taken from climate science.
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Published date: 2005
Keywords:
Bayesian analysis, climate modelling, uncertainty in climate prediction
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Local EPrints ID: 24161
URI: http://eprints.soton.ac.uk/id/eprint/24161
PURE UUID: c4d84ad5-dd28-4bd2-932b-da584df6633c
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Date deposited: 23 Mar 2006
Last modified: 22 Jul 2022 20:28
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Author:
R.K.S. Hankin
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