BioinformaticsbioRxivPreprint
Improving the Scalability of Bayesian Phylodynamic Inference through Efficient MCMC Proposals
Remco Bouckaert, Paula Weidemüller, Luis R. Esquivel Gomez, Nicola Felix Müller
This paper introduces improved MCMC proposal distributions for Bayesian phylodynamic inference, enhancing scalability and reducing convergence time in phylogenetic analysis.
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