Monte Carlo, Markov Chains, Metropolis Hastings.
previous. Monte Carlo is a random sampling process where repeatedly random sample to achieve a certain result. For example, if we repeatedly sample 10000 samples from a normal distribution — N (0,1). Then plot the histogram of 10000 samples, it will look like the initial distribution N(0,1). import