The 2020 US Senate election in Arizona was on of the most fascinating and competitive races in recent history in the wake of John McCain’s passing. Here I conduct a brief Bayesian analysis, updating the prior with poll data to make an informed prediction on the election’s outcome.
A survival analysis describing factors that impact how long a home stays available on the market in the Twin Cities, MN metropolitan area.
Credit: Dr. Vittorio Adonna of Macalester College supervised this project and classmate April Leclair collaborated on the analysis.
Another fascinating election in which a Democrat had a rare opportunity to potentially win a Senate seat in a deep red state. This analysis is a deeper dive into Bayesian methods in predicting the election outcome and updating our prior incrementally as polls came in.
2017 AL Senate Special Election
Credit: Dr. Alicia Johnson of Macalester College supervised this project and classmate Corey McGinnis collaborated on the analysis.