Imperial College London

DrBenoitChachuat

Faculty of EngineeringDepartment of Chemical Engineering

Reader in Process Systems Engineering
 
 
 
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Contact

 

b.chachuat Website

 
 
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Location

 

354ARoderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Pitt:2018:10.1016/j.ifacol.2018.09.040,
author = {Pitt, JA and Gomoescu, L and Pantelides, CC and Chachuat, B and Banga, JR},
doi = {10.1016/j.ifacol.2018.09.040},
journal = {IFAC-PapersOnLine},
pages = {72--75},
title = {Critical assessment of parameter estimation methods in models of biological oscillators},
url = {http://dx.doi.org/10.1016/j.ifacol.2018.09.040},
volume = {51},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Many biological systems exhibit oscillations in relation to key physiological or cellular functions, such as circadian rhythms, mitosis and DNA synthesis. Mathematical modelling provides a powerful approach to analysing these biosystems. Applying parameter estimation methods to calibrate these models can prove a very challenging task in practice, due to the presence of local solutions, lack of identifiability, and risk of overfitting. This paper presents a comparison of three state-of-the-art methods: frequentist, Bayesian and set-membership estimation. We use the Fitzhugh-Nagumo model with synthetic data as a case study. The computational performance and robustness of these methods is discussed, with a particular focus on their predictive capability using cross-validation.
AU - Pitt,JA
AU - Gomoescu,L
AU - Pantelides,CC
AU - Chachuat,B
AU - Banga,JR
DO - 10.1016/j.ifacol.2018.09.040
EP - 75
PY - 2018///
SN - 2405-8963
SP - 72
TI - Critical assessment of parameter estimation methods in models of biological oscillators
T2 - IFAC-PapersOnLine
UR - http://dx.doi.org/10.1016/j.ifacol.2018.09.040
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000445415800023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/71299
VL - 51
ER -