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Toward a diagnostic toolkit for linear models with Gaussian-process distributed random effects
Gaussian processes (GPs) are widely used as distributions of random effects in linear mixed models, which are fit using the restricted likelihood or the closely-related Bayesian analysis. This article addresses two problems. First, we propose tools for understanding how data determine estimates in t...
שמור ב:
| הוצא לאור ב: | Biometrics |
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| Main Authors: | , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2018
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6089687/ https://ncbi.nlm.nih.gov/pubmed/29441529 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12848 |
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