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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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| Publicado no: | Mol Biol Evol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2016
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| Assuntos: | |
| Acesso em linha: | 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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