Mixtures of generalized hyperbolic distributions and mixtures of skew-\(t\) distributions for model-based clustering with incomplete data
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Publication:1799870
DOI10.1016/j.csda.2018.08.016zbMath1469.62162arXiv1703.02177OpenAlexW2594897147MaRDI QIDQ1799870
Yang Tang, Yuhong Wei, Paul D. McNicholas
Publication date: 19 October 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1703.02177
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items (6)
Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data ⋮ Asymmetric clusters and outliers: mixtures of multivariate contaminated shifted asymmetric Laplace distributions ⋮ Explaining individual predictions when features are dependent: more accurate approximations to Shapley values ⋮ Model-based clustering and outlier detection with missing data ⋮ Some properties of the multivariate generalized hyperbolic laws ⋮ A mixture of coalesced generalized hyperbolic distributions
Uses Software
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