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