Electronic Journal of Probability · 2011 · 66 citations · 23 references
EngineeringMathematicsProbability TheoryStochastic ProcessesTransport PhenomenaDiffusion ProcessesEntropyGaussian ProcessesMarkov ChainsMarkov ProcessesMetric GeometryConcentration InequalitiesEntropy InequalityMarkov Diffusion ProcessesSeparable Metric SpacesSeparable SpacesTransport InequalityWeak Convergence Of Stochastic ProcessesWeak Convergence On Metric Spaces
We study the problem of non-asymptotic deviations between a reference measure and its empirical version, in the 1-Wasserstein metric, under the standing assumption that the reference measure satisfies a transport-entropy inequality. We extend some results of F. Bolley, A. Guillin and C. Villani with simple proofs. Our methods are based on concentration inequalities and extend to the general setting of measures on a Polish space. Deviation bounds for the occupation measure of a contracting Markov chain in 1-Wasserstein distance are also given. Throughout the text, several examples are worked out, including the cases of Gaussian measures on separable Banach spaces, and laws of diffusion processes.
23