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Uncertainty quantification for chromatography model parameters by Bayesian inference using sequential Monte Carlo method

Yota Yamamoto, Tomoyuki Yajima, Yoshiaki Kawajiri

2021Process Safety and Environmental Protection35 citationsDOIOpen Access PDF

Topics & Concepts

Monte Carlo methodMarkov chain Monte CarloComputer scienceComputationInferenceApproximate Bayesian computationBayesian inferenceUncertainty quantificationBayesian probabilityHybrid Monte CarloEstimation theoryParticle filterAlgorithmMathematicsArtificial intelligenceMachine learningKalman filterStatisticsFault Detection and Control SystemsAnalytical Chemistry and ChromatographySpectroscopy and Chemometric Analyses
Uncertainty quantification for chromatography model parameters by Bayesian inference using sequential Monte Carlo method | Litcius