Autoregressive moving average model for matrix time series
In the paper, the autoregressive moving average model for matrix time series (MARMA) is investigated. The properties of the MARMA model are investigated by using the conditional least square estimation, the conditional maximum likelihood estimation, the projection theorem in Hilbert space and the de...
Main Authors: | Shujin Wu, Ping Bi |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-10-01
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Series: | Statistical Theory and Related Fields |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/24754269.2023.2262360 |
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