A note on variational Bayesian factor analysis

DOI10.1016/j.neunet.2008.11.002zbMath1336.62163OpenAlexW2036465599WikidataQ51856791 ScholiaQ51856791MaRDI QIDQ280415

Philip L. H. Yu, Jian-hua Zhao

Publication date: 10 May 2016

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2008.11.002

zbMATH Keywords

factor analysisBICVB

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25)

Related Items

Flexible clustering via extended mixtures of common \(t\)-factor analyzers, Mixtures of common \(t\)-factor analyzers for modeling high-dimensional data with missing values, Online learning of time-varying stochastic factor structure by variational sequential Bayesian factor analysis, Mixture model selection via hierarchical BIC

Uses Software

• PRMLT

Cites Work

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• Variational learning for rectified factor analysis
• Factor analysis and AIC
• Estimating the dimension of a model
• Mixtures of factor analysers. Bayesian estimation and inference by stochastic simulation
• Some contributions to maximum likelihood factor analysis