networked, stochastic SIRD epidemiological model with Bayesian parameter estimation and policy scenario comparison tools
-
Updated
Jul 25, 2023 - Python
networked, stochastic SIRD epidemiological model with Bayesian parameter estimation and policy scenario comparison tools
Repository for Pachter Lab Biophysics
Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary Science, U. C. Berkeley, (2013 - 2016).
Code repository for the paper "Stochastic 3D Modelling of Discrete Sediment Bodies for Geotechnical Applications" by G.H. Erharter, F. Tschuchnigg and G. Poscher
TO DO
Formal Digital Twin of a Lego Mindstorms production plant
Add a description, image, and links to the stochastic-modeling topic page so that developers can more easily learn about it.
To associate your repository with the stochastic-modeling topic, visit your repo's landing page and select "manage topics."