Image 3_Learning Gaussian graphical models from correlated data.tiff
<p>Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of using partial correlation is to show the relation between two variables after “adjusting” f...
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| Main Author: | Zeyuan Song (13846951) (author) |
|---|---|
| Other Authors: | Sophia Gunn (18452454) (author), Stefano Monti (171969) (author), Gina M. Peloso (12036929) (author), Ching-Ti Liu (100170) (author), Kathryn Lunetta (3721699) (author), Paola Sebastiani (32655) (author) |
| Published: |
2025
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