| Issue Date | Title | Involved Person(s) |
| 20-Jun-2022 | Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors | Delucchi, Matteo; Spinner, Georg; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al |
| 2022 | Datengetriebene Entscheidungsunterstützung mittels Bayes’scher Netzwerke | Spinner, Georg; Gerber, Nicole |
| 2022 | Bayesian network analysis for data-driven decision support | Spinner, Georg; Gerber, Nicole |
| 2022 | Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors | Delucchi, Matteo; Spinner, Georg Ralph; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al |
| 26-Nov-2021 | Was wäre wenn?! Unsichtbares sichtbar machen mit Simulationen im Verpflegungsprozess | Gerber, Nicole; Hollenstein, Lukas; Krähenbühl, Andrea |
| 23-Aug-2021 | Simulationen von Verpflegungsprozessen : auf Knopfdruck zur richtigen Entscheidung | Krähenbühl, Andrea; Gerber, Nicole; Höhener, Rebecca; Hollenstein, Lukas |
| 3-Dec-2019 | Virtuell Schäumen : Simulieren und Visualisieren | Vorburger, Robert; Hollenstein, Lukas |
| 2019 | Bayesian parameter inference with stochastic solar dynamo models | Ulzega, Simone; Albert, Carlo |
| 2019 | Classifying digital twins : a three-dimensional conceptual reference model | Barth, Linard; Ehrat, Matthias; Fuchs, Rainer |
| 2019 | Bayesian inference for solar dynamo models | Ulzega, Simone; Albert, Carlo |
| 2019 | Bayesian inference methods for the calibration of stochastic dynamo models | Ulzega, Simone; Albert, Carlo |
| 2019 | SimLack : simulation-based optimization and scheduling of generic powder coating lines | Hollenstein, Lukas; Lötscher, Adrian; Luccarini, Fabian |
| 12-Jun-2018 | Bayesian parameter inference with stochastic solar dynamo models | Ulzega, Simone; Albert, Carlo |
| Jun-2018 | A dynamic network approach for the analysis of pathogen transmission chains | Ott, Thomas; Glüge, Stefan; Schüle, Martin; Hill, Christopher |
| 10-Jan-2018 | A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models | Ulzega, Simone |
