Pages that link to "Item:Q2136660"
From MaRDI portal
The following pages link to High-dimensional sufficient dimension reduction through principal projections (Q2136660):
Displaying 15 items.
- Estimating sufficient reductions of the predictors in abundant high-dimensional regressions (Q116954) (← links)
- Sufficient dimension reduction via principal L\(q\) support vector machine (Q276219) (← links)
- Principal support vector machines for linear and nonlinear sufficient dimension reduction (Q449992) (← links)
- Model averaging assisted sufficient dimension reduction (Q830525) (← links)
- Principal minimax support vector machine for sufficient dimension reduction with contaminated data (Q1660132) (← links)
- Estimating a sparse reduction for general regression in high dimensions (Q1702278) (← links)
- Using DAGs to identify the sufficient dimension reduction in the principal fitted components model (Q1726806) (← links)
- Sufficient dimension reduction in regressions through cumulative Hessian directions (Q1927284) (← links)
- High-dimensional principal projections (Q2514169) (← links)
- Sparse Sufficient Dimension Reduction for Markov Blanket Discovery (Q3178544) (← links)
- On aggregate dimension reduction (Q5109931) (← links)
- Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension (Q5242475) (← links)
- Sequential Sufficient Dimension Reduction for Large p, Small n Problems (Q5378140) (← links)
- On the number of principal components in high dimensions (Q5384592) (← links)
- Sufficient dimension reduction via distance covariance with multivariate responses (Q5742396) (← links)
