Simultaneous inference for multiple testing and clustering via a Dirichlet process mixture model

DOI10.1177/1471082X0700800103MaRDI QIDQ4970933

Marina Vannucci, David B. Dahl, Qianxing Mo

Publication date: 8 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

model-based clusteringBayesian nonparametricsmultiple comparisonscorrelated hypothesis tests

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

A Bayesian mixed logit-probit model for multinomial choice ⋮ Multiple hypothesis testing and clustering with mixtures of non-central \(t\)-distributions applied in microarray data analysis ⋮ Similarity analysis in Bayesian random partition models

Cites Work

• Unnamed Item
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Nonparametric Bayesian data analysis
• A Bayesian analysis of some nonparametric problems
• Bayesian cluster analysis
• Bayesian Density Estimation and Inference Using Mixtures
• A Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification
• Multiple Hypothesis Testing by Clustering Treatment Effects

This page was built for publication: Simultaneous inference for multiple testing and clustering via a Dirichlet process mixture model