Model-based clustering based on sparse finite Gaussian mixtures

Bayes Variable Selection in Semiparametric Linear Models

(2014) Suprateek Kundu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Variable Selection for Clustering by Separability Based on Ridgelines

(2012) Hyangmin Lee et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Finite mixtures of multivariate skew t-distributions: some recent and new results

(2012) Sharon Lee et al.   STATISTICS AND COMPUTING

Asymptotic behaviour of the posterior distribution in overfitted mixture models

(2011) Judith Rousseau et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Bayesian wavelet-based curve classification via discriminant analysis with Markov random tree priors

(2011) Francesco C. Stingo et al.   STATISTICA SINICA

Panel data analysis: a survey on model-based clustering of time series

(2011) Sylvia Frühwirth-Schnatter   Advances in Data Analysis and Classification

Bayesian profile regression with an application to the National survey of children's health

(2010) J. Molitor et al.   BIOSTATISTICS

Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions

(2010) S. Fruhwirth-Schnatter et al.   BIOSTATISTICS

Model-based clustering of longitudinal data

(2010) Paul D. McNicholas et al.   CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE

Combining Mixture Components for Clustering

(2010) Jean-Patrick Baudry et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Sparse Bayesian hierarchical modeling of high-dimensional clustering problems

(2010) Heng Lian   JOURNAL OF MULTIVARIATE ANALYSIS

Nonparametric Bayes Conditional Distribution Modeling With Variable Selection

(2010) Yeonseung Chung et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Methods for merging Gaussian mixture components

(2010) Christian Hennig   Advances in Data Analysis and Classification

Latent class analysis variable selection

(2009) Nema Dean et al.   ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Variable Selection for Clustering with Gaussian Mixture Models

(2009) Cathy Maugis et al.   BIOMETRICS

Model-Based Clustering of Non-Gaussian Panel Data Based on Skew-tDistributions

(2009) Miguel A. Juárez et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

Bayesian Mixture Labeling by Highest Posterior Density

(2009) Weixin Yao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models

(2009) M. Sperrin et al.   STATISTICS AND COMPUTING

Dealing with label switching in mixture models under genuine multimodality

(2008) Bettina Grün et al.   JOURNAL OF MULTIVARIATE ANALYSIS

The Bayesian Lasso

(2008) Trevor Park et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Parsimonious Gaussian mixture models

(2008) Paul David McNicholas et al.   STATISTICS AND COMPUTING

Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data

(2007) Sijian Wang et al.   BIOMETRICS

Model-Based Clustering of Multiple Time Series

(2007) Sylvia Fröhwirth-Schnatter et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS