Abstract
We define a notion of de‐initializing Markov chains. We prove that to analyse convergence of Markov chains to stationarity, it suffices to analyse convergence of a de‐initializing chain. Applications are given to Markov chain Monte Carlo algorithms and to convergence diagnostics.
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