A bound on the 2-Wasserstein distance between linear combinations of independent random variables

The corresponding daily mean fi elds are available in the CMIP5 simulations for historical and RCP85 for- cings (Taylor et al., 2012), and they are ranked with respect to the

L’augmentation des constantes de vitesse de dégradation du MeO, RMe, BBP et BBT, en présence des deux catalyseurs étudiés avec l’augmentation de la température

Antimicrobial resistance of specific animal pathogens raises veterinary problems in terms of efficacy but, for two reasons, has no direct impact on human medicine: (i) these

We establish some deviation inequalities, moment bounds and almost sure results for the Wasserstein distance of order p ∈ [1, ∞) between the empirical measure of independent

Hence, in that case, the condition (4.26) is weaker than the condition (5.2), and is in fact equiv- alent to the minimal condition to get the central limit theorem for partial sums

As a matter of fact, the statistical analysis of the estimates and their asymptotic behaviour in distribution require a particular study of the asymptotic expan- sion of M n that

In this section we derive a functional inequality ensuring the uniform exponential conver- gence (18) of the solutions to the steady state ν = e −V , give practical criteria for it

The results and the proof will be given in the two settings of a smooth Riemannian manifold and of a more general metric measure space, more precisely in the setting introduced in [ 6