Machine Learning, Variational Inference, Bayesian Statistics, Artificial Intelligence.
example of an ideal trace. Chain 2 initially has high autocorrelation and low variance but converges to stationarity after iteration t ~1500. We discard the head segment t < 1500 (so-called burn-in samples) since they’re unlikely to be part of our target distribution. What about Chain 3? This trace