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Introduction to Markov Chain Monte Carlo
Fundamental Properties Theorem: – Under some conditions (irreducibility and aperiodicity), the limit lim t →∞ Pt ij exists and is independent of i; call it (j). If Ω is finite, then ∑ j (j) = 1 and ( P)(j) = (j) and such is a unique solution to xP=x ( is called a stationary distribution)
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