MCMC and the coupon collector problem

from blog John D. Cook, | ↗ original
Bob Carpenter wrote today about how Markov chains cannot thoroughly cover high-dimensional spaces, and that they do not need to. That’s kinda the point of Monte Carlo integration. If you want systematic coverage, you can/must sample systematically, and that’s impractical in high dimensions. Bob gives the example that if you want to get one...