Variable selection in clustering via Dirichlet process mixture models

From MaRDI portal
Publication:2813922

DOI10.1093/biomet/93.4.877zbMath1436.62266OpenAlexW2080838288MaRDI QIDQ2813922

Mahlet G. Tadesse, Marina Vannucci, Sinae Kim

Publication date: 27 June 2016

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/6236beb97a4332f2d74adec1dbe00cbd18333d56




Related Items

A Bayesian mixture of Lasso regressions with \(t\)-errorsVariable Selection for Clustering with Gaussian Mixture ModelsA hierarchical Bayesian approach for examining heterogeneity in choice decisionsClustering Gene Expression Data using a Posterior Split-Merge-Birth ProcedureMixture Models With a Prior on the Number of ComponentsA Bayesian semiparametric factor analysis model for subtype identificationSpace‐time areal mixture model: relabeling algorithm and model selection issuesFast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomicsPenalized model-based clusteringThe local Dirichlet processPenalized model-based clustering with unconstrained covariance matricesPosterior simulation across nonparametric models for functional clusteringClustering time-course microarray data using functional Bayesian infinite mixture modelDirichlet process mixture models for unsupervised clustering of symptoms in Parkinson's diseaseVariable Selection in Penalized Model‐Based Clustering Via Regularization on Grouped ParametersEstimating sample mean under interval uncertainty and constraint on sample varianceInfinite mixtures of infinite factor analysersPrediction and Inference With Missing Data in Patient Alert SystemsCherry-picking for complex data: robust structure discoveryA Spatial Dirichlet Process Mixture Model for Clustering Population Genetics DataVariable selection methods for model-based clusteringA simple method for screening variables before clustering microarray dataBayesian binary kernel probit model for microarray based cancer classification and gene selectionModel-based clustering based on sparse finite Gaussian mixturesFunctional equation helps in finding affine-covariant probability distributionsBayesian variable selection in clustering high-dimensional data with substructureSparse Bayesian hierarchical modeling of high-dimensional clustering problemsIntegrative model-based clustering of microarray methylation and expression dataHigh-dimensional variable selection with the plaid mixture model for clusteringBayesian multinomial regression with class-specific predictor selectionAccelerating parallel tempering: Quantile tempering algorithm (QuanTA)Species Sampling Priors for Modeling Dependence: An Application to the Detection of Chromosomal AberrationsNonparametric Variable Selection, Clustering and Prediction for Large Biological DatasetsA new Dirichlet process for mining dynamic patterns in functional dataSpatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regressionOn two‐way Bayesian agglomerative clustering of gene expression dataBayesian variable selection in clustering high-dimensional data via a mixture of finite mixturesGeneralized Species Sampling Priors With Latent Beta ReinforcementsEffect on prediction when modeling covariates in Bayesian nonparametric modelsBayesian bi-clustering methods with applications in computational biologyA simple model‐based approach to variable selection in classification and clusteringAn Integrative Bayesian Modeling Approach to Imaging Genetics