Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use debiased multi-task fused lasso (joint penalty on beta1, beta2 and their difference) instead of independent debiased lasso for GGM difference testing | GGM edge-difference testing · Synthetic GGM data, n2=60 | power and coverage | Helped |
| Use debiased multi-task fused lasso instead of debiased lasso and projected ridge for difference detection as n2 varies | GGM edge-difference testing · Synthetic GGM data, n2 from 20 to 150 | power | Helped |
| Use debiased multi-task fused lasso instead of debiased lasso and projected ridge on ABIDE permutation tests | Autism connectome edge differences · ABIDE, n1=2000, n2=100 permutation testing | number of detections vs expected false positive rate | Helped |
| Use debiased lasso or projected ridge instead of fused variant for edge detection on ABIDE | Autism connectome edge differences · ABIDE, 100 subsamples | selected edges at 5% uncorrected threshold | Hurt |
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