activity
20162021
most citedModel-based clustering based on sparse finite Gaussian mixtures

176 citations · 180 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2021

How many data clusters are in the Galaxy data set? Bayesian cluster analysis in action

Bettina Grün, Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter

In model-based clustering, the Galaxy data set is often used as a benchmark data set to study the performance of different modeling approaches. Aitkin (2001) compares maximum likel…

stat.ME20182 cited

Comparing Spike and Slab Priors for Bayesian Variable Selection

Gertraud Malsiner-Walli, Helga Wagner

An important task in building regression models is to decide which regressors should be included in the final model. In a Bayesian approach, variable selection can be performed usi…

stat.CO20182 cited

Computational Solutions for Bayesian Inference in Mixture Models

Gilles Celeux, Kaniav Kamary, Gertraud Malsiner-Walli +2

This chapter surveys the most standard Monte Carlo methods available for simulating from a posterior distribution associated with a mixture and conducts some experiments about the…

stat.ME2017

Effect fusion using model-based clustering

Gertraud Malsiner-Walli, Daniela Pauger, Helga Wagner

In social and economic studies many of the collected variables are measured on a nominal scale, often with a large number of categories. The definition of categories is usually not…

stat.ME2016176 cited

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…