Tensor Graphical Model : Non-Convex Optimization and Statistical Inference
We consider the estimation and inference of graphical models that characterize the dependency structure of high-dimensional tensor-valued data. To facilitate the estimation of the precision matrix corresponding to each way of the tensor, we assume the data follow a tensor normal distribution whose c...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 8 vom: 01. Aug., Seite 2024-2037
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| 1. Verfasser: |
Lyu, Xiang
(VerfasserIn) |
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| Weitere Verfasser: |
Sun, Will Wei,
Wang, Zhaoran,
Liu, Han,
Yang, Jian,
Cheng, Guang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S. |
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