Yuefeng Han, Rong Chen, Dan Yang, Cun-Hui Zhang
arXiv 4 Jun 2020 · Statistics — Methodology · publishedThe Annals of Statistics (2024) · 14 citations (OpenAlex)
arXiv:2006.02611 · PDF · DOI · OpenAlex · Extracted main text
Tensor time series, which is a time series consisting of tensorial observations, has become ubiquitous. It typically exhibits high dimensionality. One approach for dimension reduction is to use a factor model structure, in a form similar to Tucker tensor decomposition, except that the time dimension is treated as a dynamic process with a time dependent structure. In this paper we introduce two approaches to estimate such a tensor factor model by using iterative orthogonal projections of the original tensor time series. These approaches extend the existing estimation procedures and improve the estimation accuracy and convergence rate significantly as proven in our theoretical investigation. Our algorithms are similar to the higher order orthogonal projection method for tensor decomposition, but with significant differences due to the need to unfold tensors in the iterations and the use of autocorrelation. Consequently, our analysis is significantly different from the existing ones. Computational and statistical lower bounds are derived to prove the optimality of the sample size requirement and convergence rate for the proposed methods. Simulation study is conducted to further illustrate the statistical properties of these estimators.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | barticle[author] Lam, CliffordC. Yao, QiweiQ (2012) ) | 1.000 | 5 | 3 | 100% |
| 2 | barticle[author] Wang, DongD., Liu, XialuX. Chen, RongR (2019) ) self | 1.000 | 5 | 3 | 100% |
| 3 | barticle[author] Zhang, AnruA. Xia, DongD (2018) ) | 0.956 | 8 | 3 | 88% |
| 4 | barticle[author] Wedin, Per-keP.- (1972) ) | 0.941 | 6 | 3 | 83% |
| 5 | barticle[author] Chen, RongR., Yang, DanD. Zhang, Cun-HuiC.-H (2022) a) self | 0.909 | 16 | 6 | 75% |
| 6 | barticle[author] Lam, CliffordC., Yao, QiweiQ. Bathia, NeilN (2011) ) | 0.811 | 4 | 2 | 100% |
| 7 | barticle[author] Ma, ZongmingZ. Wu, YihongY (2015) ) | 0.763 | 6 | 2 | 67% |
| 8 | barticle[author] Chen, RongR., Yang, DanD. Zhang, Cun-HuiC.-H (2022) b) self | 0.737 | 3 | 3 | 67% |
| 9 | barticle[author] Bai, JushanJ (2003) ) | 0.737 | 3 | 2 | 100% |
| 10 | barticle[author] Stock, James H.J. H. Watson, Mark W.M. W (2002) ) | 0.737 | 3 | 2 | 100% |
Showing the top 10 of 64 scored citations.
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