Kusuoka, Seiichiro; Tudor, Ciprian A. - In: Stochastic Processes and their Applications 122 (2012) 4, pp. 1627-1651
Given a random variable F regular enough in the sense of the Malliavin calculus, we are able to measure the distance between its law and any probability measure with a density function which is continuous, bounded, strictly positive on an interval in the real line and admits finite variance. The...