Wird geladen...
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model
A tuning-free procedure is proposed to estimate the covariate-adjusted Gaussian graphical model. For each finite subgraph, this estimator is asymptotically normal and efficient. As a consequence, a confidence interval can be obtained for each edge. The procedure enjoys easy implementation and effici...
Gespeichert in:
| Veröffentlicht in: | J Am Stat Assoc |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
|
| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4974017/ https://ncbi.nlm.nih.gov/pubmed/27499564 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2015.1010039 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|