Pages that link to "Item:Q2960507"
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The following pages link to High dimensional matrix estimation with unknown variance of the noise (Q2960507):
Displaying 9 items.
- Reconstruction of a low-rank matrix in the presence of Gaussian noise (Q391623) (← links)
- Estimation of (near) low-rank matrices with noise and high-dimensional scaling (Q548547) (← links)
- Algorithms for matrix estimation (Q1287259) (← links)
- A simple numerical method based simultaneous stochastic perturbation for estimation of high dimensional matrices (Q1710944) (← links)
- On the robustness of noise-blind low-rank recovery from rank-one measurements (Q2168911) (← links)
- Noise level estimation in high-dimensional linear models (Q2278703) (← links)
- A fast algorithm for the semi-definite relaxation of the state estimation problem in power grids (Q2338485) (← links)
- Design-free estimation of variance matrices (Q2451793) (← links)
- Bayesian singular value regularization via a cumulative shrinkage process (Q5093737) (← links)