Manfred Deistler和高维时间序列统计分析的一般动态因子模型方法

IF 1.1 Q3 ECONOMICS
M. Hallin
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引用次数: 0

摘要

半个多世纪以来,Manfred Deistler一直致力于建立时间序列和更一般随机过程统计分析的严格理论基础。半个世纪以来的不懈努力不是几页纸就能轻易概括的。在这篇简短的笔记中,我们选择集中讨论曼弗雷德贡献中一个相对鲜为人知的方面,尽管如此,它对当代时间序列和计量经济学最强大的工具之一的发展产生了相当大的影响:动态因子模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Manfred Deistler and the General-Dynamic-Factor-Model Approach to the Statistical Analysis of High-Dimensional Time Series
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.
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来源期刊
Econometrics
Econometrics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
2.40
自引率
20.00%
发文量
30
审稿时长
11 weeks
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