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Graph Estimation with Joint Additive Models

In recent years, there has been considerable interest in estimating conditional independence graphs in high dimensions. Most previous work has assumed that the variables are multivariate Gaussian, or that the conditional means of the variables are linear; in fact, these two assumptions are nearly eq...

詳細記述

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書誌詳細
主要な著者: Voorman, Arend, Shojaie, Ali, Witten, Daniela
フォーマット: Artigo
言語:Inglês
出版事項: 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4084701/
https://ncbi.nlm.nih.gov/pubmed/25013234
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/ast053
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