176 citations · 176 across the 3 of their papers we have counts for
4 papers · 1 filter
CliPS -- How to identify cluster distributions in Bayesian mixture models
Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter, Bettina Grün
We propose the CliPS procedure when fitting Bayesian mixture models in the context of model-based clustering to identify the cluster distributions while simultaneously assessing th…
Bayesian Finite Mixture Models
Bettina Grün, Gertraud Malsiner-Walli
Finite mixture models are a useful statistical model class for clustering and density approximation. In the Bayesian framework finite mixture models require the specification of su…
Without Pain -- Clustering Categorical Data Using a Bayesian Mixture of Finite Mixtures of Latent Class Analysis Models
Gertraud Malsiner-Walli, Bettina Grün, Sylvia Frühwirth-Schnatter
We propose a Bayesian approach for model-based clustering of multivariate categorical data where variables are allowed to be associated within clusters and the number of clusters i…
Model-based clustering based on sparse finite Gaussian mixtures
Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter, Bettina Grün
In the framework of Bayesian model-based clustering based on a finite mixture of Gaussian distributions, we present a joint approach to estimate the number of mixture components an…