Pages that link to "Item:Q5411062"
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The following pages link to Dimension reduction and predictor selection in semiparametric models (Q5411062):
Displaying 19 items.
- On expectile-assisted inverse regression estimation for sufficient dimension reduction (Q830708) (← links)
- A sparse eigen-decomposition estimation in semiparametric regression (Q962349) (← links)
- Estimating a sparse reduction for general regression in high dimensions (Q1702278) (← links)
- On consistency and sparsity for sliced inverse regression in high dimensions (Q1750280) (← links)
- Optimal estimation of slope vector in high-dimensional linear transformation models (Q1755121) (← links)
- Advanced topics in sliced inverse regression (Q2062795) (← links)
- Dimension reduction for block-missing data based on sparse sliced inverse regression (Q2072382) (← links)
- Fourier transform sparse inverse regression estimators for sufficient variable selection (Q2076139) (← links)
- Sparse SIR: optimal rates and adaptive estimation (Q2176608) (← links)
- Double-slicing assisted sufficient dimension reduction for high-dimensional censored data (Q2215728) (← links)
- Model-based SIR for dimension reduction (Q2275652) (← links)
- High dimensional single index models (Q2350065) (← links)
- Asymptotic properties of sufficient dimension reduction with a diverging number of predictors (Q2999746) (← links)
- (Q3580551) (← links)
- Dimension reduction for non-elliptically distributed predictors: second-order methods (Q3585394) (← links)
- A note on the semiparametric approach to dimension reduction (Q5077422) (← links)
- Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension (Q5242475) (← links)
- A selective overview of sparse sufficient dimension reduction (Q5880034) (← links)
- A semi-parametric approach to feature selection in high-dimensional linear regression models (Q6177013) (← links)