The proposed robust sample-specific stability selection method can effectively perform sample-specific analysis without causing disturbances of samples to have characteristics different from those of a target sample, because our method controls for the effect of samples using a two-stage strategy (i.e., weighted random ...
Robust Sample-Specific Stability Selection with Effective Error Control
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Jan 14, 2019 · The proposed robust sample-specific stability selection estimates the selection probabilities of variables using the sample-specific random ...
The proposed robust sample-specific stability selection estimates the selection probabilities of variables using the sample-specific random lasso and then ...
The proposed robust sample-specific stability selection estimates the selection probabilities of variables using the sample-specific random lasso and then ...
To settle on the issue, we propose robust stability selection and show that our method provides an effective theoretical property (i.e., per-family error rate).
The main appeal of stability selection lies in its explicit control of error rates on all selected variables. Empirically, by setting a high frequency ...
Duration: 53:10
Posted: Oct 26, 2017
Posted: Oct 26, 2017
Missing: Robust Sample- Specific Effective
Aug 5, 2010 · Stability selection provides finite sample familywise multiple-testing error control (or control of other error rates of false discoveries) ...
The proposed robust sample-specific stability selection estimates the selection probabilities of variables using the sample-specific random lasso and then ...
Oct 4, 2023 · It turns out that a rank-based Stability Selection where a fixed number of best variables enters the stable model is generally more robust than ...