Minimax estimation of covariance and precision matrices for high-dimensional time series with long-memory

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This paper concerns the minimax estimation of covariance and precision matrices for high-dimensional time series with long-memory property. We generalize the minimax results for the convergence rates of the estimation of covariance matrices in Shu and Nan (2019) in several directions with a mild assumption, which was mentioned as an open problem in Supplement to Cai and Zhou (2012) for i.i.d. data. We also obtain the minimax results for the convergence rates of the estimation of precision matrices under various norms, which is not considered by Shu and Nan (2019) and Cai and Zhou (2012).
Publisher
ELSEVIER
Issue Date
2021-10
Language
English
Article Type
Article
Citation

STATISTICS PROBABILITY LETTERS, v.177, pp.109177

ISSN
0167-7152
DOI
10.1016/j.spl.2021.109177
URI
http://hdl.handle.net/10203/287701
Appears in Collection
MA-Journal Papers(저널논문)
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