Editorial: The 2nd special issue on advances in mixture models (Q1621273)

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scientific article; zbMATH DE number 6975367

Language	Label	Description	Also known as
English	Editorial: The 2nd special issue on advances in mixture models	scientific article; zbMATH DE number 6975367

Statements

scholarly article

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Editorial: The 2nd special issue on advances in mixture models (English)

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Computational Statistics and Data Analysis

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publication date

8 November 2018

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MaRDI profile type

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full work available at URL

https://doi.org/10.1016/j.csda.2013.10.010

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Model-based classification via mixtures of multivariate \(t\)-distributions

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Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data

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Model-Based Gaussian and Non-Gaussian Clustering

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Model-based clustering of high-dimensional data: a review

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A hierarchical modeling approach for clustering probability density functions

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Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data

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A multivariate linear regression analysis using finite mixtures of \(t\) distributions

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Model-based clustering via linear cluster-weighted models

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Model-based clustering for multivariate functional data

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A new semi-parametric mixture model for interval censored data, with applications in the field of antimicrobial resistance

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Nonparametric estimation of the mixing distribution in logistic regression mixed models with random intercepts and slopes

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Zero-inflated Poisson regression mixture model

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

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Bias from misspecification of the component variances in a normal mixture

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Robust growth mixture models with non-ignorable missingness: models, estimation, selection, and application

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Robust fitting of mixtures using the trimmed likelihood estimator

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Mixture models for clustering multilevel growth trajectories

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Multivariate methods using mixtures: correspondence analysis, scaling and pattern-detection

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A combined likelihood ratio/information ratio bootstrap technique for estimating the number of components in finite mixtures

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New approaches to compute Bayes factor in finite mixture models

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Root selection in normal mixture models

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Robust mixture regression model fitting by Laplace distribution

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Model based clustering of customer choice data

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Parsimonious skew mixture models for model-based clustering and classification

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Robust mixture regression using the \(t\)-distribution

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Identifiers

zbMATH Open document ID

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Mathematics Subject Classification ID

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zbMATH DE Number

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10.1016/J.CSDA.2013.10.010

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Sitelinks

Mathematics(1 entry)

mardi Publication:1621273

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