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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...
Sparad:
| I publikationen: | Electron J Stat |
|---|---|
| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2018
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| Ämnen: | |
| Länkar: | 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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