If a Metropolis–Hastings algorithm proposes fresh draws from its target stationary distribution , its acceptance ratio on the positive support is . Therefore every proposal is accepted, and . From the first update onward the recorded states are independent and identically distributed random variables with law , regardless of the initial state in the support. An arbitrary initial state is excluded when claiming an unbiased finite-sample average.
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