Sparse Estimation of Conditional Graphical Models With Application to Gene Networks
Sparse Estimation of Conditional Graphical Models With Application to Gene Networks
In many applications the graph structure in a network arises from two sources: intrinsic connections and connections due to external effects. We introduce a sparse estimation procedure for graphical models that is capable of isolating the intrinsic connections by removing the external effects. Technically, this is formulated as a