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The objective of this paper is to study the Gibbs sampling for computing themean of observable in very high dimension - a powerful Markov chain Monte Carlomethod. Under the Dobrushin's uniqueness condition, we establish some explicitand sharp estimate of the exponential convergence rate and prove some Gaussianconcentration inequalities for the empirical mean.

Convergence rate and concentration inequalities for Gibbs sampling in high dimension