Litcius/Paper detail

Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling

William Heymann, Juliane Glaser, Fabrice Schlegel, Will Johnson, Pablo Rolandi, Eric von Lieres

2023Journal of Chromatography A13 citationsDOI

Topics & Concepts

Markov chain Monte CarloMonte Carlo methodUncertainty quantificationBayesian probabilityComputer scienceBayesian inferenceAlgorithmChemistryArtificial intelligenceMachine learningStatisticsMathematicsAnalytical Chemistry and ChromatographyProtein Structure and DynamicsProbabilistic and Robust Engineering Design
Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling | Litcius