Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model
نویسندگان
چکیده
منابع مشابه
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 efficient computation through parallel estimation on subgraphs or edges. We further apply the asymptoti...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2016
ISSN: 0162-1459,1537-274X
DOI: 10.1080/01621459.2015.1010039