Pages that link to "Item:Q5384592"
From MaRDI portal
The following pages link to On the number of principal components in high dimensions (Q5384592):
Displaying 14 items.
- Estimating common principal components in high dimensions (Q95891) (← links)
- Convergence and prediction of principal component scores in high-dimensional settings (Q620562) (← links)
- How many principal components? Stopping rules for determining the number of non-trivial axes revisited (Q957273) (← links)
- Subspace rotations for high-dimensional outlier detection (Q2022542) (← links)
- Double data piling leads to perfect classification (Q2074331) (← links)
- Rank determination in tensor factor model (Q2136659) (← links)
- High-dimensional sufficient dimension reduction through principal projections (Q2136660) (← links)
- Bootstrapping max statistics in high dimensions: near-parametric rates under weak variance decay and application to functional and multinomial data (Q2196217) (← links)
- Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model (Q2329874) (← links)
- High-dimensional principal projections (Q2514169) (← links)
- Adjusting systematic bias in high dimensional principal component scores (Q5066782) (← links)
- Discussion (Q5252136) (← links)
- Discussion (Q5252137) (← links)
- Rates of Bootstrap Approximation for Eigenvalues in High-Dimensional PCA (Q6069877) (← links)