Article ID Journal Published Year Pages File Type
5129319 Journal of Multivariate Analysis 2017 16 Pages PDF
Abstract

A hidden truncation hyperbolic (HTH) distribution is introduced and finite mixtures thereof are applied for clustering. A stochastic representation of the HTH distribution is given and a density is derived. A hierarchical representation is described, which aids in parameter estimation. Finite mixtures of HTH distributions are presented and their identifiability is proved. The convexity of the HTH distribution is discussed, which is important in clustering applications, and some theoretical results in this direction are presented. The relationship between the HTH distribution and other skewed distributions in the literature is discussed. Illustrations are provided-both of the HTH distribution and application of finite mixtures thereof for clustering.

Related Topics
Physical Sciences and Engineering Mathematics Numerical Analysis
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