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Article

Bayesian model-averaging of parametric coalescent models for phylodynamic inference

2025-02-24

Abstract excerpt

Bayesian phylodynamic models have become essential for reconstructing population history from genetic data, yet their accuracy depends crucially on choosing appropriate demographic models. To address uncertainty in model choice, we introduce a Bayesian Model Averaging (BMA) framework that integrates multiple parametric coalescent models--including constant, exponential, logistic, and Gompertz growth--along with th...

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Literature Corpus work
13ce4c18-7627-599e-8438-0d8a6d63403e
DOI
10.1101/2025.02.22.639697
Open publication

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Bayesian model-averaging of parametric coalescent models for phylodynamic inferenceDOI 10.1101/2025.02.22.639697
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