Local and Global Inference for High Dimensional Nonparanormal Graphical Models

9 Feb 2015Quanquan GuYuan CaoYang NingHan Liu

This paper proposes a unified framework to quantify local and global inferential uncertainty for high dimensional nonparanormal graphical models. In particular, we consider the problems of testing the presence of a single edge and constructing a uniform confidence subgraph... (read more)

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