Bayesian calibration, process modeling and uncertainty quantification in biotechnology - Helleckes, Laura Marie; Osthege, Michael; Wiechert, Wolfgang; von Lieres, Eric; Oldiges, Marco (PLoS computational biology, 2022)
Keywords: Analytical chemistry; Automation; Bayes Theorem; Bayesian analysis; Bayesian statistical decision theory; Biotechnology; Calibration; Computer and Information Sciences; Computer applications; Data Analysis; Differential equations; Empirical analysis; Engineering and Technology; Evaluation; Experimentation; Funding; High-throughput screening (Biochemical assaying); Information processing; Learning algorithms; Life sciences; Machine learning; Mathematical models; Maximum likelihood estimation; Methods; Microorganisms; Noise measurement; Normal distribution; Optical measurement; Physical Sciences; Process controls; Process parameters; Research and Analysis Methods; Robustness (mathematics); Software packages; Statistical inference; Uncertainty; Germany