التفاصيل البيبلوغرافية
| العنوان: |
On the probability of (falsely) connecting two distinct components when learning a GGM. |
| المؤلفون: |
De Canditiis, Daniela1 (AUTHOR) d.decanditiis@iac.cnr.it, Turdó, Marika2 (AUTHOR) |
| المصدر: |
Communications in Statistics: Theory & Methods. 2024, Vol. 53 Issue 11, p4107-4115. 9p. |
| مصطلحات موضوعية: |
NEIGHBORS |
| مستخلص: |
In this paper, we extend the result on the probability of (falsely) connecting two distinct components when learning a GGM (Gaussian Graphical Model) by the joint regression based technique. While the classical method of regression based technique learns the neighbours of each node one at a time through a Lasso penalized regression, its joint modification, considered here, learns the neighbours of each node simultaneously through a group Lasso penalized regression. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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