Asymmetric clusters and outliers: mixtures of multivariate contaminated shifted asymmetric Laplace distributions (Q1727862)

scientific article; zbMATH DE number 7027218

Language	Label	Description	Also known as
English	Asymmetric clusters and outliers: mixtures of multivariate contaminated shifted asymmetric Laplace distributions	scientific article; zbMATH DE number 7027218

Statements

instance of

scholarly article

0 references

title

Asymmetric clusters and outliers: mixtures of multivariate contaminated shifted asymmetric Laplace distributions (English)

0 references

0 references

0 references

0 references

0 references

Computational Statistics and Data Analysis

0 references

publication date

21 February 2019

0 references

full work available at URL

https://arxiv.org/abs/1402.6744

0 references

zbMATH Keywords

outlier detection

0 references

mixture models

0 references

model-based clustering

0 references

shifted asymmetric Laplace distribution

0 references

describes a project that uses

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

Mixture Models, Outliers, and the EM Algorithm

0 references

Extending mixtures of multivariate \(t\)-factor analyzers

0 references

Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions

0 references

The Skew-normal Distribution and Related Multivariate Families*

0 references

Statistical Applications of the Multivariate Skew Normal Distribution

0 references

Finite mixtures of unimodal beta and gamma densities and the \(k\)-bumps algorithm

0 references

The multivariate leptokurtic‐normal distribution and its application in model‐based clustering

0 references

Model-Based Gaussian and Non-Gaussian Clustering

0 references

Robust mixture modeling based on scale mixtures of skew-normal distributions

0 references

Robust Bayes and empirical Bayes analysis with \(\epsilon\)-contaminated priors

0 references

Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models

0 references

The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family

0 references

A mixture of generalized hyperbolic distributions

0 references

Multivariate mixture modeling using skew-normal independent distributions

0 references

Mixtures of multivariate power exponential distributions

0 references

Multivariate response and parsimony for Gaussian cluster-weighted models

0 references

Detecting Features in Spatial Point Processes with Clutter via Model-Based Clustering

0 references

Q4040285

0 references

Model-Based Clustering, Discriminant Analysis, and Density Estimation

0 references

Three skewed matrix variate distributions

0 references

Trimmed ML estimation of contaminated mixtures

0 references

Analysis of Tomato Root Initiation Using a Normal Mixture Distribution

0 references

Choosing initial values for the EM algorithm for finite mixtures

0 references

Bayes Factors

0 references

Consistent estimation of the order of mixture models.

0 references

Q2723273

0 references

Q3405569

0 references

Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results

0 references

Maximum likelihood estimation for multivariate skew normal mixture models

0 references

Learning from incomplete data via parameterized \(t\) mixture models through eigenvalue decomposition

0 references

Computationally efficient learning of multivariate \(t\) mixture models with missing information

0 references

On fast supervised learning for normal mixture models with missing information

0 references

Q5457398

0 references

Robust mixtures of factor analysis models using the restricted multivariate skew-<i>t</i> distribution

0 references

Flexible mixture modeling via the multivariate \(t\) distribution with the Box-Cox transformation: an alternative to the skew-\(t\) distribution

0 references

Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers

0 references

Mixtures of multivariate contaminated normal regression models

0 references

Q4692755

0 references

Extension of the mixture of factor analyzers model to incorporate the multivariate \(t\)-distribution

0 references

The EM Algorithm and Extensions, 2E

0 references

Finite mixture models

0 references

Modelling high-dimensional data by mixtures of factor analyzers

0 references

Model-based clustering

0 references

A Mixture of Variance-Gamma Factor Analyzers

0 references

Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models

0 references

Initializing the EM algorithm in Gaussian mixture models with an unknown number of components

0 references

Maximum likelihood estimation via the ECM algorithm: A general framework

0 references

Mixtures of skew-\(t\) factor analyzers

0 references

Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering

0 references

Clustering with the multivariate normal inverse Gaussian distribution

0 references

Compound unimodal distributions for insurance losses

0 references

Hypothesis Testing for Mixture Model Selection

0 references

Fitting insurance and economic data with outliers: a flexible approach based on finite mixtures of contaminated gamma distributions

0 references

Parsimonious mixtures of multivariate contaminated normal distributions

0 references

Robust clustering in regression analysis via the contaminated Gaussian cluster-weighted model

0 references

The influence function of the TCLUST robust clustering procedure

0 references

Skewness and mixtures of normal distributions

0 references

Estimating the dimension of a model

0 references

Skew scale mixtures of normal distributions: properties and estimation

0 references

Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions

0 references

Clustering and classification via cluster-weighted factor analyzers

0 references

Cluster-weighted \(t\)-factor analyzers for robust model-based clustering and dimension reduction

0 references

Statistical analysis of finite mixture distributions

0 references

Analytic calculations for the EM algorithm for multivariate skew-\(t\) mixture models

0 references

Parsimonious skew mixture models for model-based clustering and classification

0 references

Flexible clustering via extended mixtures of common \(t\)-factor analyzers

0 references

Robust skew-\(t\) factor analysis models for handling missing data

0 references

Mixtures of generalized hyperbolic distributions and mixtures of skew-\(t\) distributions for model-based clustering with incomplete data

0 references

Robust Clustering Using Exponential Power Mixtures

0 references

Identifiers

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

0 references

0 references

10.1016/J.CSDA.2018.12.001

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:1727862