Automated learning of factor analysis with complete and incomplete data
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Publication:1623405
DOI10.1016/j.csda.2013.11.008zbMath1506.62209OpenAlexW2004520985MaRDI QIDQ1623405
Publication date: 23 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2013.11.008
Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Point estimation (62F10)
Related Items (5)
Factor analysis models via I-divergence optimization ⋮ Automated learning of \(t\) factor analysis models with complete and incomplete data ⋮ Automated learning of mixtures of factor analysis models with missing information ⋮ Dynamic factor analysis for short panels: estimating performance trajectories for water utilities ⋮ Robust clustering via mixtures of \(t\) factor analyzers with incomplete data
Cites Work
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- Numerical Analysis for Statisticians
- Probabilistic Principal Component Analysis
- The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
- Heteroscedastic factor mixture analysis
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