Stability selection

Estimating stability and selection index

Stability selection

Estimation of structure, such as in variable selection, graphical modelling or cluster analysis is notoriously difficult, especially for high-dimensional data. We introduce stability selection. It is based on subsampling in combination with (high-dimensional) selection algorithms. As such, the method is extremely general and has a very wide range of applicability. Stability selection provides f...

Stability-Based Model Selection

Model selection is linked to model assessment, which is the problem of comparing different models, or model parameters, for a specific learning task. For supervised learning, the standard practical technique is crossvalidation, which is not applicable for semi-supervised and unsupervised settings. In this paper, a new model assessment scheme is introduced which is based on a notion of stability...

Stability Selection for Structured Variable Selection

In variable or graph selection problems, finding a right-sized model or controlling the number of false positives is notoriously difficult. Recently, a meta-algorithm called Stability Selection was proposed that can provide reliable finite-sample control of the number of false positives. Its benefits were demonstrated when used in conjunction with the lasso and orthogonal matching pursuit algor...

Stability Analysis and Selection of Salinity Tolerant barley Genotypes

The objectives of this study were to analyze genotype by environment (GE) interactions effects on the yield of barley lines and varieties, identifying salinity tolerant genotypes with stable yield and also evaluating genotype (G), environments (E) and GE interactions using different stability parameters. The research was set up as two Randomized Complete Block design with three replications at ...