Factor Analysis and Alternating Minimization

Autor: Finesso, Lorenzo, Spreij, Peter
Rok vydání: 2007
Předmět:
Zdroj: in Modeling, Estimation and Control, Festschrift in Honor of Giorgio Picci on the Occasion of his Sixty-Fifth Birthday (2007)
Druh dokumentu: Working Paper
DOI: 10.1007/978-3-540-73570-0
Popis: In this paper we make a first attempt at understanding how to build an optimal approximate normal factor analysis model. The criterion we have chosen to evaluate the distance between different models is the I-divergence between the corresponding normal laws. The algorithm that we propose for the construction of the best approximation is of an the alternating minimization kind.
Databáze: arXiv