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

New approaches to compute Bayes factor in finite mixture models

Computational Statistics & Data Analysis

Model-based classification via mixtures of multivariate t-distributions

Computational Statistics & Data Analysis

Bias from misspecification of the component variances in a normal mixture

Computational Statistics & Data Analysis

Root selection in normal mixture models

Computational Statistics & Data Analysis

Model based clustering of customer choice data

Computational Statistics & Data Analysis

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

Computational Statistics & Data Analysis

Mixture models for clustering multilevel growth trajectories

Computational Statistics & Data Analysis

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

Computational Statistics & Data Analysis

A hierarchical modeling approach for clustering probability density functions

Computational Statistics & Data Analysis

Model-based clustering for multivariate functional data

Computational Statistics & Data Analysis

Robust mixture regression using the t-distribution

Computational Statistics & Data Analysis

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

Computational Statistics & Data Analysis

Robust mixture regression model fitting by Laplace distribution

Computational Statistics & Data Analysis

A multivariate linear regression analysis using finite mixtures of t distributions

Computational Statistics & Data Analysis

Zero-inflated Poisson regression mixture model

Computational Statistics & Data Analysis

Model-based clustering via linear cluster-weighted models

Computational Statistics & Data Analysis

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

Computational Statistics & Data Analysis

Parsimonious skew mixture models for model-based clustering and classification

Computational Statistics & Data Analysis

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

Computational Statistics & Data Analysis

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

Computational Statistics & Data Analysis

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

Computational Statistics & Data Analysis

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

Computational Statistics & Data Analysis

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

Computational Statistics & Data Analysis