Double-sample debiasing and low-rank projection yield asymptotically Gaussian estimators for linear forms of noisy low-tubal-rank tensors, supporting valid statistical inference including confidence intervals and hypothesis testing.
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Uncertainty Quantification for Noisy Low-tubal-rank Tensor Completion
Double-sample debiasing and low-rank projection yield asymptotically Gaussian estimators for linear forms of noisy low-tubal-rank tensors, supporting valid statistical inference including confidence intervals and hypothesis testing.