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Computational approaches to parameter estimation and model selection in immunology

Baker, Christopher T. H.
; 
Bocharov, Gennady
; 
Ford, Judith M.
; 
Lumb, Patricia M.
; 
Norton, Stewart J.
; 
Paul, Christophe A. H.
; 
Junt, Tobias
; 
Krebs, Philippe
; 
Ludewig, Burkhard
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Affiliation
University of Manchester; University College Chester; Russian Academy of Sciences; Royal Liverpool Children's NHS Trust; University of Zürich; Kantonsspital St. Gallen, Switzerland
EPub Date
Publication Date
2005-12-01
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Mathematics
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Abstract
This article seeks to illustrate the computational implementation of an information-theoretic approach (associated with a maximum likelihood treatment) to modelling in immunology.
Citation
Baker, C. T. H., Bocharov, G., Ford, J. M., Lumb, P. M., Norton, S. J., Paul, C. A. H., Junt, T., Krebs, P., & Ludewig, B. (2005). Computational approaches to parameter estimation and model selection in immunology. Journal of Computational and Applied Mathematics, 184(1), 50-76. https://doi.org/10.1016/j.cam.2005.02.003
Publisher
Elsevier
Journal
Journal of Computational and Applied Mathematics
Research Unit
URI
http://hdl.handle.net/10034/14954
DOI
10.1016/j.cam.2005.02.003
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PubMed Central ID
Type
Article
Language
en
Description
This article is not available through ChesterRep.
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ISSN
0377-0427
EISSN
ISBN
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This article was submitted to the RAE2008 for the University of Chester - Applied Mathematics.
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https://www.sciencedirect.com/science/article/pii/S0377042705000609?via%3Dihub