🧪 Bayesian Inference Explained — Priors, Likelihoods, and Posteriors

This simulation visually explains Bayesian inference, a statistical method used to update beliefs based on new evidence. It demonstrates the roles of prior probabilities, likelihood functions, and posterior distributions.

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install