Projects with source code are posted anonymously on the class webpage. Some projects where issues arose re-running the code are not posted.
Students can request for their name to be added, after the course is over and the class grades are assigned.
Students can request for projects with confidential data not to be posted.
In most cases, source code and data are available from https://github.com/ionides/531w20/tree/master/final_project.
If building on previous source code, note that there are some differences between versions of the software package pomp. The pomp version 2 upgrade guide can be helpful.
Modeling stochastic growth and volality with Heston model on Google log-returns
Flattening the Curve: A Case Study of COVID-19 Spread in Seattle, WA
SEIR Modeling on Interventation Strategies for COVID-19 in Hubei
A POMP Model on Transmission Dynamics of Chickenpox (Varicella) in Michigan
Investigation of COVID-19 spreading properties based on SECSDR model
fMRI analysis: Seasonality analysis with Lomb-Scargle algorithm and Dynamic Causal Modeling
Case study on the United States COVID-19 data based on the SEIR model
Study on the Transmission Dynamics of Varicella in South Korea
Analysing the Stock of Intel Corporation (INTC) using GARCH and POMP Models
Researching on stochastic volatility of Tesla stock price in 2019
Pomp model fitting for China monthly export value from 1993 to 2018