Maximin and Bayesian robust experimental design for measurement set selection in modelling biochemical regulatory systems
From MaRDI portal
Publication:2928351
DOI10.1002/rnc.1558zbMath1298.93051OpenAlexW1996592514MaRDI QIDQ2928351
No author found.
Publication date: 7 November 2014
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.1558
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (3)
A global parallel model based design of experiments method to minimize model output uncer\-tainty ⋮ Modeling the inflammatory response in the hypothalamus ensuing heat stroke: iterative cycle of model calibration, identifiability analysis, experimental design and data collection ⋮ Robust global identifiability theory using potentials -- application to compartmental models
Cites Work
This page was built for publication: Maximin and Bayesian robust experimental design for measurement set selection in modelling biochemical regulatory systems
