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Model averaging estimation for high-dimensional covariance matrices with a network structure

In this paper, we develop a model averaging method to estimate a high-dimensional covariance matrix, where the candidate models are constructed by different orders of polynomial functions. We propose a Mallows-type model averaging criterion and select the weights by minimizing this criterion, which...

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Vydáno v:Econom J
Hlavní autoři: Zhu, Rong, Zhang, Xinyu, Ma, Yanyuan, Zou, Guohua
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7946866/
https://ncbi.nlm.nih.gov/pubmed/33746562
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ectj/utaa030
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