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Approximate factor analysis model buildi...
Finesso, Lorenzo...
Approximate factor analysis model building via alternating I-divergence minimization by Finesso, Lorenzo ( Author )
N.A
09-12-2008
Given a positive definite covariance matrix Σˆ, we strive to construct an optimal \emph{approximate} factor analysis model HH⊤+D, with H having a prescribed number of columns and D>0 diagonal. The optimality criterion we minimize is the I-divergence between the corresponding normal laws. Lifting the problem into a properly chosen larger space enables us to derive an alternating minimization algorithm à la Csiszár-Tusnády for the construction of the best approximation. The convergence properties of the algorithm are studied, with special attention given to the case where D is singular.
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English
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MYR 0.00
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https://arxiv.org/abs/0812.1804
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