Background

• Time: Feb 2026
• Context: Competition project for 2026 MCM.

GitHub Repository

• Public repository link was not provided for this project.

Highlights

• Addressed voting controversies in “Dancing with the Stars” using a Bayesian inverse estimation framework.
• Built counterfactual simulations and an XGBoost model under the CPISeq framework.
• Proposed a “Four-Strike Rank Fusion” voting rule to improve fairness in high-conflict scenarios.

Tech Stack

• Python
• Bayesian Modeling
• XGBoost
• Counterfactual Simulation