Flexible Modelling via Multivariate Skew Distributions
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Publication:3305485
DOI10.1007/978-981-15-1960-4_4zbMath1445.62333OpenAlexW2997430734MaRDI QIDQ3305485
Sharon X. Lee, Geoffrey J. McLachlan
Publication date: 7 August 2020
Published in: Communications in Computer and Information Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-981-15-1960-4_4
Multivariate distribution of statistics (62H10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Statistical aspects of big data and data science (62R07)
Uses Software
Cites Work
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- A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering
- Model-based clustering and classification with non-normal mixture distributions
- On nomenclature for, and the relative merits of, two formulations of skew distributions
- Finite mixtures of canonical fundamental skew \(t\)-distributions. The unification of the restricted and unrestricted skew \(t\)-mixture models
- Comment on ``On nomenclature, and the relative merits of two formulations of skew distributions by A. Azzalini, R. Browne, M. Genton, and P. McNicholas
- On mixtures of skew normal and skew \(t\)-distributions
- Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results
- Multivariate skewness and kurtosis measures with an application in ICA
- Location and scale mixtures of Gaussians with flexible tail behaviour: properties, inference and application to multivariate clustering
- Robust finite mixture modeling of multivariate unrestricted skew-normal generalized hyperbolic distributions
- Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering
- Sequential Dirichlet process mixtures of multivariate skew \(t\)-distributions for model-based clustering of flow cytometry data
- Note of clarification on ``Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering
- Maximum likelihood estimation for multivariate skew normal mixture models
- On fundamental skew distributions
- The Skew-Normal and Related Families
- Estimation and Testing of Parameters in Multivariate Laplace Distribution
- On the Unification of Families of Skew-normal Distributions
- The multivariate skew-normal distribution
- A new class of multivariate skew distributions with applications to bayesian regression models
- Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
- Multivariate tail conditional expectation for scale mixtures of skew-normal distribution
- A unified view on skewed distributions arising from selections
- The Skew-normal Distribution and Related Multivariate Families*