Matrix-variate Dirichlet process priors with applications

DOI10.1214/13-BA853zbMath1327.62175OpenAlexW1965669054MaRDI QIDQ899020

Guang Dai, Michael I. Jordan, Zhihua Zhang, Dakan Wang

Publication date: 21 December 2015

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1401148309

zbMATH Keywords

Dirichlet processeslatent factor regressionmatrix-variate distributionsnonparametric dependent modelingnonparametric discriminative analysis

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Random matrices (probabilistic aspects) (60B20) Random measures (60G57)

Uses Software

• PMTK

Cites Work

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• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Ferguson distributions via Polya urn schemes
• Slice sampling. (With discussions and rejoinder)
• A Bayesian analysis of some nonparametric problems
• The Matrix Stick-Breaking Process
• A semiparametric Bayesian model for randomised block designs
• Hidden Markov Models With Stick-Breaking Priors
• Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds
• Bayesian Density Estimation and Inference Using Mixtures
• Bayesian Analysis of Binary and Polychotomous Response Data
• High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics
• Bayesian Density Regression
• Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
• Bayesian auxiliary variable models for binary and multinomial regression