Markov Chains, Python.
states of the chain are samples from the target distribution. A popular algorithm for MCMC is the Metropolis-Hastings algorithm. It starts at a random position, then ‘proposes’ moving to a new position based on a proposal distribution. If the new position is a better fit for the data (i.e., it has