EM algorithm for symmetric stable mixture model

DOI10.1080/03610918.2017.1288244zbMath1391.60038OpenAlexW2585418300MaRDI QIDQ4563432

Saeid Rezakhah, Adel Mochammadpour, Mahdi Teimouri

Publication date: 1 June 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2017.1288244

zbMATH Keywords

EM algorithmMarkov chain Monte Carlomixture modelsstable distribution

Mathematics Subject Classification ID

Infinitely divisible distributions; stable distributions (60E07) Clustering in the social and behavioral sciences (91C20)

Related Items (1)

Numerical characteristics and parameter estimation of finite mixed generalized normal distribution

Uses Software

• cluster (R)
• mixsmsn
• sn
• LOWESS
• GSM

Cites Work

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• Gamma shape mixtures for heavy-tailed distributions
• A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering
• Robust mixture modeling based on scale mixtures of skew-normal distributions
• On mixtures of skew normal and skew \(t\)-distributions
• Analytic calculations for the EM algorithm for multivariate skew-\(t\) mixture models
• Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions
• The flood probability distribution tail: How heavy is it?
• Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results
• Modelling with mixture of symmetric stable distributions using Gibbs sampling
• Estimating the dimension of a model
• The stochastic EM algorithm: Estimation and asymptotic results
• Parsimonious skew mixture models for model-based clustering and classification
• Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions
• Robust Clustering Using Exponential Power Mixtures
• Maximum likelihood estimation via the ECM algorithm: A general framework
• The EM Algorithm and Extensions, 2E
• On scale mixtures of normal distributions
• A Method for Simulating Stable Random Variables
• Asymptotic properties of a stochastic EM Algorithm for estimating mixing proportions
• The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
• Random variate generation for exponentially and polynomially tilted stable distributions
• Chance and Stability
• The Bayesian Bridge
• A mixture of generalized hyperbolic distributions
• Identifiability of Finite Mixtures of Elliptical Distributions
• A new look at the statistical model identification

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