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Smooth Scalar-on-Image Regression via Spatial Bayesian Variable Selection.
Inference after variable selection using restricted permutation methods.
There is a big difference with the variable selection problem.
Variable Selection in the Functional Linear Concurrent Model.
Zou, H. & Hastie, T. Regularization and variable selection via the elastic net.
Tibshirani, R. The lasso method for variable selection in the Cox model.
Benner, C. et al. FINEMAP: efficient variable selection using summary data from genome-wide association studies.
Benner, C. et al. FINEMAP: Efficient variable selection using summary data from genome-wide association studies.
Table 1 Summary of variable selection process using iterative jackknife analysis procedure in Maxent.
A resource-based habitat framework supports variable selection and result interpretation.
We show that our variable selection method identifies potentially significant metabolites which can easily be missed if relying upon standard variable selection methods in Metabolomics research.
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