Stein's method of exchangeable pairs for the Beta distribution and generalizations
arXiv:1411.4477
Abstract
We propose a new version of Stein's method of exchangeable pairs, which, given a suitable exchangeable pair of real-valued random variables, suggests the approximation of the law of by a suitable absolutely continuous distribution. This distribution is characterized by a first order linear differential Stein operator, whose coefficients and are motivated by two regression properties satisfied by the pair . Furthermore, the general theory of Stein's method for such an absolutely continuous distribution is developed and a general characterization result as well as general bounds on the solution to the Stein equation are given. This abstract approach is a certain extension of the theory developed in the papers \cite{ChSh} and \cite{EiLo10}, which only consider the framework of the density approach, i.e. . As an illustration of our technique we prove a general plug-in result, which bounds a certain distance of the distribution of a given random variable to a Beta distribution in terms of a given exchangeable pair and provide new bounds on the solution to the Stein equation for the Beta distribution, which complement the existing bounds from \cite{GolRei13}. The abstract plug-in result is then applied to derive bounds of order for the distance between the distribution of the relative number of drawn red balls after drawings in a Pólya urn model and the limiting Beta distribution measured by a certain class of smooth test functions.
37 pages, essential overlap with preprint "Stein's method of exchangeable pairs for absolutely continuous, univariate distributions with applications to the Polya urn model" (arXiv: 1207.0533) but completely new written and with several additional results and also some omissions
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