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Characterizing and Approximating Infinite Scale Mixtures of Normals
Authors:Hasan Hamdan
Affiliation:1. Department of Mathematics and Statistics , James Madison University , Harrissonburg, Virginia, USA hamdanhx@jmu.edu
Abstract:ABSTRACT

The purpose of this study is to approximate and identify infinite scale mixtures of normals, SMN. A new method for approximating any infinite SMN with a known mixing measure by a finite SMN is presented. In the new method, the modulus of continuity of the normal family as a function of the scale is used to discretize the mixing measure. This method will be used to approximate univariate and multivariate SMN with mean 0. In the multivariate case, two different methods are used to approximate the infinite SMN. Several results related to SMN are proved and other known ones are presented. For example, SMN are characterized by their corresponding Laplace transforms.
Keywords:Completely monotone  Discretize  Point masses  Recursive
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