  We derive bounds for the Orlicz norm of the deviation of a random variable
defined on $\mathbb{R}^n$ from its Gaussian mean value. The random variables
are assumed to be smooth and the bound itself depends on the Orlicz norm of the
gradient. Applications to non-parametric Information Geometry are discussed.
