Clips For Quants on Instagram: "That moment when statistical estimation hits a wall because of unobserved events! This deep dive explores how the seemingly simple separation of Gaussian and Poisson parameters in Maximum Likelihood Estimation (MLE) falls apart when dealing with missing data—specifically, those elusive market jumps. The elegant solution presented is the famous Expectation-Maximization (EM) Algorithm, developed by the folks at Harvard, like Rubin, Layard, and Dempster. It cleverly