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iteration. Generally in RWM, the candidate Φᵢ may or may not depend on directly Φᵢ-₁, but will always in some way depend on the previous iteration, thereby utilizing the Markovian property. We have two important choices to make when using this algorithm family: the candidate distribution, and the