Markov Chains, Data Science.
essentially states that the probability of transitioning from state x to state x′ under the target distribution π(x) is equal to the probability of transitioning from state x′ to state x. In other words, the chain behaves reversibly with respect to the target distribution. Ensuring detailed balance