Bluffing and Strategic Reticence in Prediction Markets
Final project for TTIC 31260: Algorithmic Game Theory, taught by Prof. Avrim Blum at Toyota Technological Institute at Chicago, examining incentive compatibility in prediction markets through the Logarithmic Market Scoring Rule (LMSR) and Dynamic Parimutuel Market mechanisms. Based on Chen, Y., Reeves, D. M., Pennock, D. M., Hanson, R. D., Fortnow, L., & Gonen, R. (2010).