Hierarchical Bayesian estimation for adsorption isotherm parameter determination

摘要: Abstract Estimation of isotherm model parameters from experimental data is necessary in adsorption process modeling. To facilitate modeling, databases that store exist. Nevertheless, inconsistency among different researchers must be resolved to find a single set multiple sets. Herein, we propose hierarchical Bayesian estimation method quantify the discrepancy by multiplicative factor while simultaneously obtaining probability distributions parameters. This approach also allows us identify outliers, which are sets not agreement with other The proposed demonstrated for case CO2 metal-organic framework UiO-66.