This project aims to explore system identification. Specifically, the project focuses on following and reconstructing the results obtained by Dureau et al. The parameters of the SEIR disease model is inferred via a combination of system-state augmentation and adaptive particle Markov chain Monte Carlo (PMCMC). More details could be found in the final report under 2_report. The main code script could be found in wang_sibo_ae567_F22_final_project.ipynb.
-
Notifications
You must be signed in to change notification settings - Fork 2
sybokia/ae567-pmcmc
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Estimation of time-varying parameters by on system-state augmentation and particle Markov-chain Monte Carlo (PMCMC).
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published