Madrigal-Cianci, J. P., Maya, C. M., & Breakey, L. (2026). Prediction Markets as Bayesian Inverse Problems: Uncertainty Quantification, Identifiability, and Information Gain from Price-Volume Histories under Latent Types.
Chicago Style (17th ed.) CitationMadrigal-Cianci, Juan Pablo, Camilo Monsalve Maya, and Lachlan Breakey. Prediction Markets as Bayesian Inverse Problems: Uncertainty Quantification, Identifiability, and Information Gain from Price-Volume Histories Under Latent Types. 2026.
MLA (9th ed.) CitationMadrigal-Cianci, Juan Pablo, et al. Prediction Markets as Bayesian Inverse Problems: Uncertainty Quantification, Identifiability, and Information Gain from Price-Volume Histories Under Latent Types. 2026.
Warning: These citations may not always be 100% accurate.