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Marginal likelihood estimation and Bayes Factor (BF) comparison for the UK 2019 dataset.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Marginal_likelihood_estimation_and_Bayes_Factor_BF_comparison_for_the_UK_2019_dataset_/29273906
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Maximum likelihood estimation (MLE) was obtained for combinations of molecular clocks and demographic models using the Path sampling (PS) and Stepping-stone (SS) sampling and compared using Bayes Factors (only comparison of the PS-MLE are shown as illustrative). Bayes Factor (BF) should be interpreted as how many times the model in the column fits better to the data than the model in the row, according to Kass & Raftery, 1995 [73]. (XLSX)
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2025-06-09
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