A comparative investigation on model selection in independent factor analysis

DOI10.1007/S10852-005-9021-2zbMath1107.62336OpenAlexW2090055255MaRDI QIDQ864945

Xuelei Hu, Yujia An

Publication date: 13 February 2007

Published in: JMMA. Journal of Mathematical Modelling and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10852-005-9021-2

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Noisy independent factor analysis model for density estimation and classification

Uses Software

• ICALAB
• SExtractor

Cites Work

• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Factor analysis and AIC
• Auto-association by multilayer perceptrons and singular value decomposition
• Modeling by shortest data description
• EM algorithms for ML factor analysis
• Estimating the dimension of a model
• Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood
• Bayesian Kullback Ying-Yang dependence reduction theory
• Geometrical structures of FIR manifold and multichannel blind deconvolution
• A second generation little Jiffy
• Temporal BYY learning for state space approach, hidden Markov model, and blind source separation
• The minimum description length principle in coding and modeling
• A new look at the statistical model identification
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