Monte Carlo, Markov Chains, Metropolis Hastings.
Monte Carlo, it is random sampling process but the next sample is depend on the previous (Markov Chain). For example, we repeatedly sample 10000 samples from N(0,1) but we replace the mean of the normal distribution with the previous sample: Iteration 1: Sample x1 from N(0,1) Iteration 2: Sample x2