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Heterogeneity adjustment with applications to graphical model inference

Heterogeneity is an unwanted variation when analyzing aggregated datasets from multiple sources. Though different methods have been proposed for heterogeneity adjustment, no systematic theory exists to justify these methods. In this work, we propose a generic framework named ALPHA (short for Adaptiv...

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Detaylı Bibliyografya
Yayımlandı:Electron J Stat
Asıl Yazarlar: Fan, Jianqing, Liu, Han, Wang, Weichen, Zhu, Ziwei
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2018
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6820685/
https://ncbi.nlm.nih.gov/pubmed/31666911
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/18-EJS1466
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