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BibTex format

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 = {},
volume = {51},
year = {2018}

RIS format (EndNote, RefMan)

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 -
UR -
UR -
VL - 51
ER -