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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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| Pubblicato in: | Mol Biol Evol |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2016
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| Soggetti: | |
| Accesso online: | 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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