We face the factor analysis problem using a particular class of auto-regressive processes. We propose an approximate moment matching approach to estimate the number of factors as well as the parameters of the model. This algorithm alternates a step of factor analysis and a step of AR dynamics estimation. Some simulation studies show the effectiveness of the proposed estimator.

Learning AR factor models

Crescente F.;Falconi L.;Ferrante A.;Zorzi M.
2020

Abstract

We face the factor analysis problem using a particular class of auto-regressive processes. We propose an approximate moment matching approach to estimate the number of factors as well as the parameters of the model. This algorithm alternates a step of factor analysis and a step of AR dynamics estimation. Some simulation studies show the effectiveness of the proposed estimator.
2020
Proceedings of the IEEE Conference on Decision and Control
59th IEEE Conference on Decision and Control, CDC 2020
978-1-7281-7447-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3378500
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