Transformation mixture modeling for skewed data groups with heavy tails and scatter

DOI10.1007/s00180-020-01009-8zbMath1505.62290OpenAlexW3039958630MaRDI QIDQ1995820

Yana Melnykov, Volodymyr Melnykov, Xuwen Zhu

Publication date: 25 February 2021

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-020-01009-8

zbMATH Keywords

symmetrycluster analysisfinite mixture modeltransformation to normality

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (2)

On model-based clustering of directional data with heavy tails ⋮ An overview of skew distributions in model-based clustering

Uses Software

• PARVUS
• EMMIXskew

Cites Work

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• Multivariate mixture modeling using skew-normal independent distributions
• Robust mixture modeling based on scale mixtures of skew-normal distributions
• Manly transformation in finite mixture modeling
• On mixtures of skew normal and skew \(t\)-distributions
• A note on the multivariate Box-Cox transformation to normality
• Flexible mixture modeling via the multivariate \(t\) distribution with the Box-Cox transformation: an alternative to the skew-\(t\) distribution
• Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results
• Estimating the dimension of a model
• Exploring multivariate data with the forward search.
• On the computation of multivariate scenario sets for the skew-\(t\) and generalized hyperbolic families
• Model-based biclustering of clickstream data
• Asymmetric clusters and outliers: mixtures of multivariate contaminated shifted asymmetric Laplace distributions
• Supervised learning of multivariate skew normal mixture models with missing information
• Maximum likelihood estimation for multivariate skew normal mixture models
• A new family of power transformations to improve normality or symmetry
• Parsimonious mixtures of multivariate contaminated normal distributions
• Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions
• A Look at Some Data on the Old Faithful Geyser
• Model-Based Gaussian and Non-Gaussian Clustering
• A mixture of generalized hyperbolic distributions
• Mixture Model-Based Classification
• A Simplex Method for Function Minimization

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