Advanced Bayesian inference with stochastic hydrological models
At a glance
- Project leader : Dr. Carlo Albert
- Project team : Dr. Simone Ulzega
- Project status : completed
- Funding partner : SNSF (SNF-Projektförderung / Projekt Nr. 169295)
- Project partner : Eidgenössische Anstalt für Wasserversorgung, Abwasserreinigung und Gewässerschutz eawag / Department Systems Analysis, Integrated Assessment and Modelling
- Contact person : Simone Ulzega
Description
With advanced numerical techniques, including Approximate Bayesian Computation (ABC), Hamiltonian Monte Carlo (HMC) and Machine Learning (ML), we want to push the limits of Bayesian inference with stochastic models. The focus of the application will be on the hydrological sciences.