Two-way dynamic factor models for high-dimensional matrix-valued time series
Abstract In this article, we introduce a two-way dynamic factor model (2w-DFM) for high-dimensional matrix-valued time series and study some of the basic theoretical properties in terms of identifiability and estimation accuracy. The proposed model aims to capture separable and low-dimensional effec...
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Published in | Journal of the Royal Statistical Society. Series B, Statistical methodology Vol. 85; no. 5; pp. 1517 - 1537 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
02.02.2024
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Online Access | Get full text |
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