Pages that link to "Item:Q3559952"
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The following pages link to Sufficient dimension reduction and prediction in regression (Q3559952):
Displaying 14 items.
- Pruning a sufficient dimension reduction with a<i>p</i>-value guided hard-thresholding (Q5739663) (← links)
- Data-Driven Polynomial Ridge Approximation Using Variable Projection (Q5745137) (← links)
- Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations (Q5864754) (← links)
- Dimensionality reduction approach to multivariate prediction (Q5890351) (← links)
- Dimensionality reduction approach to multivariate prediction (Q5900472) (← links)
- Partial least squares for simultaneous reduction of response and predictor vectors in regression (Q6097544) (← links)
- Mining the factor zoo: estimation of latent factor models with sufficient proxies (Q6150517) (← links)
- Level Set Learning with Pseudoreversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation (Q6155903) (← links)
- Projection expectile regression for sufficient dimension reduction (Q6167053) (← links)
- Covariance-based low-dimensional registration for function-on-function regression (Q6541818) (← links)
- Sufficient dimension reduction for a novel class of zero-inflated graphical models (Q6573301) (← links)
- Variable selection using data splitting and projection for principal fitted component models in high dimension (Q6573303) (← links)
- Detecting clusters in multivariate response regression (Q6602354) (← links)
- A high-dimensional single-index regression for interactions between treatment and covariates (Q6640075) (← links)
