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Peer-reviewedLicence not statedThe Annals of Statistics

Statistical inference for low-rank tensors: Heteroskedasticity, subgaussianity, and applications

  • Joshua Agterberg1
  • Anru R. Zhang2
  1. 1Department of Statistics, University of Illinois Urbana-Champaign
  2. 2Department of Biostatistics & Bioinformatics and Department of Computer Science, Duke University
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Cite

BibTeXRIS
BibTeX
@article{agterberg2026statistical,
  title = {{Statistical inference for low-rank tensors: Heteroskedasticity, subgaussianity, and applications}},
  author = {Joshua Agterberg and Anru R. Zhang},
  journal = {The Annals of Statistics},
  year = {2026},
  month = jun,
  doi = {10.1214/25-aos2589},
  url = {http://arxiv.org/abs/2410.06381},
}
RIS
TY  - JOUR
TI  - Statistical inference for low-rank tensors: Heteroskedasticity, subgaussianity, and applications
AU  - Joshua Agterberg
AU  - Anru R. Zhang
PY  - 2026
DA  - 2026/06/01
JO  - The Annals of Statistics
DO  - 10.1214/25-aos2589
UR  - http://arxiv.org/abs/2410.06381
SN  - 0090-5364
SN  - 2168-8966
ER  -