The following pages link to OSCAR (Q15560):
Displaying 8 items.
- Dealing with big data: comparing dimension reduction and shrinkage regression methods (Q5138553) (← links)
- An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models (Q5391149) (← links)
- Linear convergence of proximal incremental aggregated gradient method for nonconvex nonsmooth minimization problems (Q5865360) (← links)
- Pattern recovery and signal denoising by SLOPE when the design matrix is orthogonal (Q5871414) (← links)
- Safe Rules for the Identification of Zeros in the Solutions of the SLOPE Problem (Q5885837) (← links)
- Clustering high dimension, low sample size data using the maximal data piling distance (Q5894806) (← links)
- Structured sparsity through convex optimization (Q5965303) (← links)
- On the grouped selection and model complexity of the adaptive elastic net (Q5970617) (← links)
