Conditional mixture modelling for heavy-tailed and skewed data

DOI10.1002/STA4.608MaRDI QIDQ6548862

Volodymyr Melnykov, Yang Wang, Xuwen Zhu, Aqi Dong

Publication date: 3 June 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

transformationheavy tailscluster analysisskewnessconditional mixture model

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Manly transformation in finite mixture modeling
• Flexible mixture modeling via the multivariate \(t\) distribution with the Box-Cox transformation: an alternative to the skew-\(t\) distribution
• Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
• Estimating the dimension of a model
• Model-based clustering of high-dimensional data: a review
• Parsimonious skew mixture models for model-based clustering and classification
• Model-based biclustering of clickstream data
• Transformation mixture modeling for skewed data groups with heavy tails and scatter
• Model-based clustering with sparse covariance matrices
• Capturing patterns via parsimonious \(t\) mixture models
• Model-based clustering
• A new family of power transformations to improve normality or symmetry
• Parsimonious mixtures of multivariate contaminated normal distributions
• Discrete Parameter Variation: Efficient Estimation of a Switching Regression Model
• Model-Based Gaussian and Non-Gaussian Clustering
• Finite mixture models
• A Simplex Method for Function Minimization
• On Information and Sufficiency
• Challenges in model-based clustering

This page was built for publication: Conditional mixture modelling for heavy-tailed and skewed data

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6548862)