Manfred Deistler and the General-Dynamic-Factor-Model Approach to the Statistical Analysis of High-Dimensional Time Series

Author:

Hallin MarcORCID

Abstract

For more than half a century, Manfred Deistler has been contributing to the construction of the rigorous theoretical foundations of the statistical analysis of time series and more general stochastic processes. Half a century of unremitting activity is not easily summarized in a few pages. In this short note, we chose to concentrate on a relatively little-known aspect of Manfred’s contribution that nevertheless had quite an impact on the development of one of the most powerful tools of contemporary time series and econometrics: dynamic factor models.

Publisher

MDPI AG

Subject

Economics and Econometrics

Reference37 articles.

1. Properties of zero-free transfer function matrices;Anderson;SICE Journal of Control, Measurement and System Integration,2008a

2. Anderson, Brian D. O., and Deistler, Manfred (, January December). Generalized linear dynamic factor models—A structure theory. Paper presented at the 47th IEEE Conference on Decision and Control, Cancun, Mexico.

3. Properties of zero-free spectral matrices;Anderson;IEEE Transactions on Automatic Control,2009

4. The structure of multivariate AR and ARMA systems: Regular and singular systems; the single and the mixed frequency case;Anderson;Journal of Econometrics,2016

5. Autoregressive models of singular spectral matrices;Anderson;Automatica,2012

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