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Unbiased and efficient log-likelihood estimation with inverse binomial sampling
The fate of scientific hypotheses often relies on the ability of a computational model to explain the data, quantified in modern statistical approaches by the likelihood function. The log-likelihood is the key element for parameter estimation and model evaluation. However, the log-likelihood of comp...
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| Опубликовано в: : | PLoS Comput Biol |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7758077/ https://ncbi.nlm.nih.gov/pubmed/33362195 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008483 |
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