A Bayesian semiparametric factor analysis model for subtype identification
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Publication:2406176
DOI10.1515/sagmb-2016-0051zbMath1371.92055arXiv1609.02984OpenAlexW2964151797WikidataQ38876126 ScholiaQ38876126MaRDI QIDQ2406176
Hongyu Zhao, Joshua L. Warren, Jiehuan Sun
Publication date: 27 September 2017
Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1609.02984
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Biochemistry, molecular biology (92C40)
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Cites Work
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- Algorithm AS 136: A K-Means Clustering Algorithm
- Functional clustering in nested designs: modeling variability in reproductive epidemiology studies
- Bayesian semiparametric structural equation models with latent variables
- Slice sampling mixture models
- Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
- Dealing with reflection invariance in Bayesian factor analysis
- Hierarchical clustering schemes
- Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
- A Bayesian analysis of some nonparametric problems
- Variable selection in clustering via Dirichlet process mixture models
- Sampling the Dirichlet Mixture Model with Slices
- Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models
- Bayesian cluster analysis
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- Estimating normal means with a conjugate style dirichlet process prior
- Bayesian Gaussian Copula Factor Models for Mixed Data
- High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics
- Improved criteria for clustering based on the posterior similarity matrix