Data Science, Sampling, Statistics, Machine Learning, Artificial Intelligence.
sampler. In Gibbs sampling the idea is to break the problem of sampling from the high-dimensional joint distribution into a series of samples from low-dimensional conditional distributions. Here we generate posterior samples by sweeping through each variable (or block of variables) to sample from