System identification and model ranking: the Bayesian perspective

Mark Girolami, Ben Calderhead, Vladislav Vyshemirsky

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Presents a Bayesian perspective on system identification and model ranking in computational systems biology.
LanguageEnglish
Title of host publicationLearning and Inference in Computational Systems Biology
Place of PublicationCambridge, MA
Publication statusPublished - 2010

Fingerprint

Identification (control systems)
Systems Biology

Keywords

  • systems biology
  • computational methodologies
  • modelling
  • computational systems biology

Cite this

Girolami, M., Calderhead, B., & Vyshemirsky, V. (2010). System identification and model ranking: the Bayesian perspective. In Learning and Inference in Computational Systems Biology Cambridge, MA.
Girolami, Mark ; Calderhead, Ben ; Vyshemirsky, Vladislav. / System identification and model ranking: the Bayesian perspective. Learning and Inference in Computational Systems Biology. Cambridge, MA, 2010.
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author = "Mark Girolami and Ben Calderhead and Vladislav Vyshemirsky",
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Girolami, M, Calderhead, B & Vyshemirsky, V 2010, System identification and model ranking: the Bayesian perspective. in Learning and Inference in Computational Systems Biology. Cambridge, MA.

System identification and model ranking: the Bayesian perspective. / Girolami, Mark; Calderhead, Ben; Vyshemirsky, Vladislav.

Learning and Inference in Computational Systems Biology. Cambridge, MA, 2010.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - System identification and model ranking: the Bayesian perspective

AU - Girolami, Mark

AU - Calderhead, Ben

AU - Vyshemirsky, Vladislav

PY - 2010

Y1 - 2010

N2 - Presents a Bayesian perspective on system identification and model ranking in computational systems biology.

AB - Presents a Bayesian perspective on system identification and model ranking in computational systems biology.

KW - systems biology

KW - computational methodologies

KW - modelling

KW - computational systems biology

UR - http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=12092

M3 - Chapter

SN - 978-0-262-01386-4

BT - Learning and Inference in Computational Systems Biology

CY - Cambridge, MA

ER -

Girolami M, Calderhead B, Vyshemirsky V. System identification and model ranking: the Bayesian perspective. In Learning and Inference in Computational Systems Biology. Cambridge, MA. 2010