Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models
Y. Shao, A. F. Magee, T. I. Vasylyeva, M. A. Suchard
This paper introduces a gradient-based Hamiltonian Monte Carlo sampler for efficient inference in episodic birth-death-sampling models, showing significant computational improvements over Metropolis-Hastings methods.
bioRxiv · Oct 31, 2023Evolutionary Biology