Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering

Paula M. Murray, Ryan P. Browne and Paul D. McNicholas

Journal of Multivariate Analysis, 2017, vol. 161, issue C, 141-156

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.

Keywords: Clustering; Hidden truncation; Hyperbolic distribution; Mixture models (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (10)

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DOI: 10.1016/j.jmva.2017.07.008

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