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Bayesian calibration, process modeling and uncertainty quantification in biotechnology

Fig 14

Predictions, observations and residuals of Monod model fitted to backscatter data.

A: Through a logarithmic y-axis, the plot A shows that both process model (blue density) and the obtained from the biomass calibation model with individual observations (orange) describe an exponentially increasing biomass concentration up to approximately 9 hours. B: The residuals between prediction and observed backscatter (black) and the posterior predictive backscatter distribution (green density) show that the lack-of-fit is consistently less than ±0.25 backscatter units with the exception of a fluctuation at the time of substrate depletion.

doi: https://doi.org/10.1371/journal.pcbi.1009223.g014