  This document presents methods to remove the initialization or burn-in bias
from Markov chain Monte Carlo (MCMC) estimates, with consequences on parallel
computing, convergence diagnostics and performance assessment. The document is
written as an introduction to these methods for MCMC users. Some theoretical
results are mentioned, but the focus is on the methodology.
