Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control
{{output}}
Transfer learning for high-dimensional Gaussian graphical models (GGMs) is studied. The target GGM is estimated by incorporating the data from similar and related auxiliary studies, where the similarity between the target graph and each auxiliary graph is char... ...
