Explore mathematical concepts through interactive visualizations
Compare Gibbs trajectories for independent and correlated bivariate normal targets.
Interactively explore mixing, spectral gaps, and probability flow for random walks on different graph structures.
Explore random walks using the Metropolis algorithm and observe how particles move through space.
Visualize the Metropolis-Hastings algorithm, a Markov Chain Monte Carlo method for sampling from probability distributions.
Use Monte Carlo methods to estimate the value of π by randomly sampling points in a square.
Estimate the value of π using Buffon’s needle problem - a classic probability experiment that connects geometry with randomness.
