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Computationally Efficient Composite Likelihood Statistics for Demographic Inference
Many population genetics tools employ composite likelihoods, because fully modeling genomic linkage is challenging. But traditional approaches to estimating parameter uncertainties and performing model selection require full likelihoods, so these tools have relied on computationally expensive maximu...
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| Опубликовано в: : | Mol Biol Evol |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5854098/ https://ncbi.nlm.nih.gov/pubmed/26545922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/molbev/msv255 |
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