A family of parsimonious mixtures of multivariate Poisson-lognormal distributions for clustering multivariate count data

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Estimating common principal components in high dimensions
On the estimation of mixtures of Poisson regression models with large number of components
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Mixtures of multivariate power exponential distributions
Simultaneous model-based clustering and visualization in the Fisher discriminative subspace
Model-based clustering using copulas with applications
Mixture of latent trait analyzers for model-based clustering of categorical data
Cluster-weighted \(t\)-factor analyzers for robust model-based clustering and dimension reduction
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
Estimating the dimension of a model
The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
A series formula for the roots of algebraic and transcendental equations.
Parsimonious skew mixture models for model-based clustering and classification
On the use of bootstrap with variational inference: theory, interpretation, and a two-sample test example
Model based clustering of high-dimensional binary data
Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions
A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting
A mixture of coalesced generalized hyperbolic distributions
Finite mixtures of multivariate Poisson distributions with application
On a Poisson-inverse Gaussian distribution
The Poisson correlation function.
An Automated MCEM Algorithm for Hierarchical Models with Multivariate and Multitype Response Variables
Multivariate Poisson-Beta Distributions with Applications
A Hierarchical Bayesian Model for Spatial Prediction of Multivariate Non-Gaussian Random Fields
A Generalized Class of Contagious Distributions
Mixed Poisson Distributions
Graphical Models, Exponential Families, and Variational Inference
Testing Goodness of Fit for the Poisson Assumption When Observations Are Not Identically Distributed
Model-Based Gaussian and Non-Gaussian Clustering
On Fitting the Poisson Lognormal Distribution to Species-Abundance Data
Variational Gaussian approximation for Poisson data
A multivariate Poisson mixture model for marketing applications
The multivariate Poisson-log normal distribution
A mixture of generalized hyperbolic distributions
A review of multivariate distributions for count data derived from the Poisson distribution