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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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Bibliografske podrobnosti
izdano v:Electron J Stat
Main Authors: Fan, Jianqing, Liu, Han, Wang, Weichen, Zhu, Ziwei
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Online dostop: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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