Bayem: Implementation and derivation of “variational Bayesian inference for a nonlinear forward model [Chappell et al 2008]“ for arbitrary, user-defined model errors

65268 2025 eng researchdata Zenodo Geneva Bundesanstalt für Materialforschung und -prüfung (BAM) 0 -- -- -- Bayem: Implementation and derivation of “variational Bayesian inference for a nonlinear forward model [Chappell et al 2008]“ for arbitrary, user-defined model errors A python implementation of an analytical variational Bayes algorithm of "Variational Bayesian inference for a nonlinear forward model", Chappell, Michael A., Adrian R. Groves, Brandon Whitcher, and Mark W. Woolrich, IEEE Transactions on Signal Processing 57, no. 1 (2008): 223-236, with an updated free energy equation to correctly capture the log evidence. The algorithm requires a user-defined model error allowing an arbitrary combination of custom forward models and measured data. 10.5281/zenodo.17804665 Software publish false true The MIT License Abbas Jafari Thomas Titscher Annika Robens-Radermacher eng uncontrolled Implementation eng uncontrolled Variational Bayesian inference eng uncontrolled Nonlinear forward model Ingenieurbau 7 Bauwerkssicherheit Infrastruktur Datei für die Öffentlichkeit verfügbar ("Open Access") Graue Literatur 7.7 Modellierung und Simulation Forschungsdatensätze der BAM Green Intelligent Building