Finite mixture regression model with random effects: application to neonatal hospital length of stay
Computational Statistics & Data Analysis
Weighted tests of homogeneity for testing the number of components in a mixture
Computational Statistics & Data Analysis
Modelling high-dimensional data by mixtures of factor analyzers
Computational Statistics & Data Analysis
Tests and diagnostics for heterogeneity in the species problem
Computational Statistics & Data Analysis
Mixture transition distribution (MTD) modeling of heteroscedastic time series
Computational Statistics & Data Analysis
Fitting of mixtures with unspecified number of components using cross validation distance estimate
Computational Statistics & Data Analysis
Mixture model clustering for mixed data with missing information
Computational Statistics & Data Analysis
Estimating the number of components in a finite mixture model: the special case of homogeneity
Computational Statistics & Data Analysis
Asymptotic theory for maximum likelihood in nonparametric mixture models
Computational Statistics & Data Analysis
Estimation and test in long-term survival mixture models
Computational Statistics & Data Analysis
Fitting semiparametric cure models
Computational Statistics & Data Analysis
Finite mixture, zero-inflated Poisson and hurdle models with application to SIDS
Computational Statistics & Data Analysis
Fitting mixtures of von mises distributions: a case study involving sudden infant death syndrome
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Latent class models for classification
Computational Statistics & Data Analysis
Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example
Computational Statistics & Data Analysis
Latent class model diagnostics: a review and some proposals
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Choosing initial values for the EM algorithm for finite mixtures
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Texture modelling by discrete distribution mixtures
Computational Statistics & Data Analysis
A transitional non-parametric maximum pseudo-likelihood estimator for disease mapping
Computational Statistics & Data Analysis
A comparison of risk difference estimators in multi-center studies under baseline-risk heterogeneity
Computational Statistics & Data Analysis
Mixtures of distance-based models for ranking data
Computational Statistics & Data Analysis
Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions
Computational Statistics & Data Analysis
Editorial: Advances in Mixture Models
Computational Statistics & Data Analysis
Recent asymptotic results in testing for mixtures
Computational Statistics & Data Analysis
Bayesian finite mixtures with an unknown number of components: The allocation sampler
Statistics and Computing
Bayesian multivariate Poisson mixtures with an unknown number of components
Statistics and Computing
A quick procedure for model selection in the case of mixture of normal densities
Computational Statistics & Data Analysis
Independent factor discriminant analysis
Computational Statistics & Data Analysis
New approaches to compute Bayes factor in finite mixture models
Computational Statistics & Data Analysis
Computational aspects of fitting mixture models via the expectation-maximization algorithm
Computational Statistics & Data Analysis
Using conditional independence for parsimonious model-based Gaussian clustering
Statistics and Computing
Computational Statistics & Data Analysis
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Recent developments in the area of mixture models are introduced, reviewed and discussed. The paper introduces this special issue on mixture models, which touches upon a diversity of developments which were the topic of a recent conference on mixture models, taken place in Hamburg, July 2001. These developments include issues in nonparametric maximum likelihood theory, the number of components problem, the non-standard distribution of the likelihood ratio for mixture models, computational issues connected with the EM algorithm, several special mixture models and application studies.