Relaxed random walks at scale

Alexander Fisher, Xiang Ji, Zhenyu Zhang, Philippe Lemey & Marc Suchard
Relaxed random walk (RRW) models of trait evolution introduce branch-specific rate multipliers to modulate the variance of a standard Brownian diffusion process along a phylogeny and more accurately model overdispersed biological data. Increased taxonomic sampling challenges inference under RRWs as the number of unknown parameters grows with the number of taxa. To solve this problem, we present a scalable method to efficiently fit RRWs and infer this branch-specific variation in a Bayesian framework. We develop...
3 citations reported since publication in 2019.
11 views reported since publication in 2019.

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