Stein's Method and Stochastic Analysis of Rademacher Functionals

Abstract

We compute explicit bounds in the Gaussian approximation of functionals of infinite Rademacher sequences. Our tools involve Stein's method, as well as the use of appropriate discrete Malliavin operators. Although our approach does not require the classical use of exchangeable pairs, we employ a chaos expansion in order to construct an explicit exchangeable pair vector for any random variable which depends on a finite set of Rademacher variables. Among several examples, which include random variables which depend on infinitely many Rademacher variables, we provide three main applications: (i) to CLTs for multilinear forms belonging to a fixed chaos, (ii) to the Gaussian approximation of weighted infinite 2-runs, and (iii) to the computation of explicit bounds in CLTs for multiple integrals over sparse sets. This last application provides an alternate proof (and several refinements) of a recent result by Blei and Janson.

The Bochner-convolution integral for generalized functional-valued functions of discrete-time normal martingales

“…Discrete-time normal martingales [8] play an important role in many theoretical and applied fields. In recent years, functionals of discrete-time normal martingales have attracted much attention ( [3,5,7,[11][12][13]).…”