Bookmarks
But what is the Central Limit Theorem?
3Blue1Brown visually proves and contextualizes the Central Limit Theorem and its importance in probability and data analysis.
"Self-regularizing Property of Nonparametric Maximum Likelihood Estimator" —Yury Polyanskiy (MIT)
Seminar proves the self-regularizing sparsity of nonparametric MLEs for mixture models, yielding logarithmic bounds on component count.
Bayes theorem, the geometry of changing beliefs
Visual geometric interpretation of Bayes’ theorem, illustrating belief updates and prior-posterior relationships in probabilistic inference.