Markov Chains, Data Science.
on their likelihood under the target distribution. By doing so, the algorithm generates a sequence of samples that asymptotically converges to the desired distribution. Hidden Markov Models Jim Simons uses a Hidden Markov (HM) process where the chain of events is governed by unknown, underlying