• Media type: E-Article
  • Title: Manfred Deistler and the general-dynamic-factor-model approach to the statistical analysis of high-dimensional time series
  • Contributor: Hallin, Marc [Author]
  • Published: 2022
  • Published in: Econometrics ; 10(2022), 4 vom: Dez., Artikel-ID 37, Seite 1-9
  • Language: English
  • DOI: 10.3390/econometrics10040037
  • Identifier:
  • Keywords: high-dimensional time series ; general dynamic factor model ; spiked covariance model ; reduced-rank process ; Aufsatz in Zeitschrift
  • Origination:
  • Footnote:
  • Description: 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.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)