Hierarchical mixtures of experts and the EM algorithm
Neural Computation
An Introduction to Variational Methods for Graphical Models
Machine Learning
Editorial: recent developments in mixture models
Computational Statistics & Data Analysis
Modelling high-dimensional data by mixtures of factor analyzers
Computational Statistics & Data Analysis
Mixture model clustering for mixed data with missing information
Computational Statistics & Data Analysis
Robustness via a mixture of exponential power distributions
Computational Statistics & Data Analysis
Variational approximations in Bayesian model selection for finite mixture distributions
Computational Statistics & Data Analysis
A hierarchical mixture model for clustering three-way data sets
Computational Statistics & Data Analysis
Mixture of two inverse Weibull distributions: Properties and estimation
Computational Statistics & Data Analysis
Confidence intervals of the hazard rate function for discrete distributions using mixtures
Computational Statistics & Data Analysis
A Dirichlet process mixture model for the analysis of correlated binary responses
Computational Statistics & Data Analysis
Classification of large data sets with mixture models via sufficient EM
Computational Statistics & Data Analysis
A stochastic EM algorithm for a semiparametric mixture model
Computational Statistics & Data Analysis
Non-parametric log-concave mixtures
Computational Statistics & Data Analysis
Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions
Computational Statistics & Data Analysis
Flexible random intercept models for binary outcomes using mixtures of normals
Computational Statistics & Data Analysis
Mixture analysis of multivariate categorical data with covariates and missing entries
Computational Statistics & Data Analysis
Fitting finite mixtures of generalized linear regressions in R
Computational Statistics & Data Analysis
Bayesian analysis of an inverse Gaussian correlated frailty model
Computational Statistics & Data Analysis
Modelling nonlinear count time series with local mixtures of Poisson autoregressions
Computational Statistics & Data Analysis
Recent asymptotic results in testing for mixtures
Computational Statistics & Data Analysis
Imputation through finite Gaussian mixture models
Computational Statistics & Data Analysis
Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution
Computational Statistics & Data Analysis
Constrained monotone EM algorithms for finite mixture of multivariate Gaussians
Computational Statistics & Data Analysis
Adaptive mixtures of local experts
Neural Computation
A mixture model for the classification of three-way proximity data
Computational Statistics & Data Analysis
Two-way Poisson mixture models for simultaneous document classification and word clustering
Computational Statistics & Data Analysis
A hybrid EM approach to spatial clustering
Computational Statistics & Data Analysis
Efficient calculation of the NPMLE of a mixing distribution for mixtures of exponentials
Computational Statistics & Data Analysis
Information matrices for Laplace and Pareto mixtures
Computational Statistics & Data Analysis
A mixture model for preferences data analysis
Computational Statistics & Data Analysis
Segmenting magnetic resonance images via hierarchical mixture modelling
Computational Statistics & Data Analysis
A model for non-parametric spatially varying regression effects
Computational Statistics & Data Analysis
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
Computational Statistics & Data Analysis
A growing and pruning method for radial basis function networks
IEEE Transactions on Neural Networks
Learning mixture models via component-wise parameter smoothing
Computational Statistics & Data Analysis
Testing for two components in a switching regression model
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
Multivariate methods using mixtures: Correspondence analysis, scaling and pattern-detection
Computational Statistics & Data Analysis
Hi-index | 0.03 |