Mixtures of restricted skew-\(t\) factor analyzers with common factor loadings (Q1999453)

scientific article; zbMATH DE number 7073913

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English	Mixtures of restricted skew-\(t\) factor analyzers with common factor loadings	scientific article; zbMATH DE number 7073913

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instance of

scholarly article

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title

Mixtures of restricted skew-\(t\) factor analyzers with common factor loadings (English)

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Advances in Data Analysis and Classification. ADAC

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publication date

27 June 2019

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zbMATH Keywords

clustering

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common factor loadings

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data reduction

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ECME algorithm

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factor analyzer

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outliers

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describes a project that uses

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full work available at URL

https://doi.org/10.1007/s11634-018-0317-2

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cites work

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The skew-normal and related families. With the collaboration of Antonella Capitanio.

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On nomenclature for, and the relative merits of, two formulations of skew distributions

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Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics. (With discussion)

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Multivariate mixture modeling using skew-normal independent distributions

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Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-\(t\) distribution

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Q4139463

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Algorithm AS 136: A K-Means Clustering Algorithm

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An introduction to variational methods for graphical models

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Finite mixture modeling of censored data using the multivariate Student-\(t\) distribution

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

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Finite mixtures of canonical fundamental skew \(t\)-distributions. The unification of the restricted and unrestricted skew \(t\)-mixture models

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

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A robust factor analysis model using the restricted skew-\(t\) distribution

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Extending mixtures of factor models using the restricted multivariate skew-normal distribution

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

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The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence

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Q4692755

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The EM Algorithm and Extensions, 2E

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Finite mixture models

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

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Maximum likelihood estimation via the ECM algorithm: A general framework

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Mixtures of skew-\(t\) factor analyzers

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

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A new class of multivariate skew distributions with applications to bayesian regression models

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Estimating the dimension of a model

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

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A mixture of generalized hyperbolic factor analyzers

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Mixtures of common factor analyzers for high-dimensional data with missing information

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Mixtures of common \(t\)-factor analyzers for modeling high-dimensional data with missing values

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Maximum likelihood inference for the multivariate \(t\) mixture model

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

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Automated learning of \(t\) factor analysis models with complete and incomplete data

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

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Identifiers

zbMATH Open document ID

1474.62209

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Mathematics Subject Classification ID

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10.1007/S11634-018-0317-2

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Sitelinks

Mathematics(1 entry)

mardi Publication:1999453