Markov Chains, Data Science.
Gaussian distribution with mean at x and standard deviation 1. Unlike importance and rejection sampling, the generation of samples in an iteration of metropolis hasting depends on the sample generated in the previous iteration. It first proposes a new sample x’ conditioned on the current sample