Stability selection is a variable selection algorithm based on resampling a dataset. Based on stability selection, we propose weighted stability selection to select ...
High-dimensional statistical modelling addresses settings in which the number of candidate predictors far exceeds the number of observations. Such scenarios arise routinely in genomics, neuroimaging, ...
A simulation study on real-world data from older adults found that the number of cross-validation folds, stratification and ...
A new variable selection method for use in chemometrics applications has recently been proposed by a team of researchers from the Hefei Institutes of Physical Science of the Chinese Academy of ...