6 citations · 11 across the 5 of their papers we have counts for
6 papers
hdtg: An R package for high-dimensional truncated normal simulation
Zhenyu Zhang, Andrew Chin, Akihiko Nishimura +1
Simulating from the multivariate truncated normal distribution (MTN) is required in various statistical applications yet remains challenging in high dimensions. Currently available…
Accelerating Bayesian inference of dependency between complex biological traits
Zhenyu Zhang, Akihiko Nishimura, Nídia S. Trovão +5
Inferring dependencies between complex biological traits while accounting for evolutionary relationships between specimens is of great scientific interest yet remains infeasible wh…
Zigzag path connects two Monte Carlo samplers: Hamiltonian counterpart to a piecewise deterministic Markov process
Akihiko Nishimura, Zhenyu Zhang, Marc A. Suchard
Zigzag and other piecewise deterministic Markov process samplers have attracted significant interest for their non-reversibility and other appealing properties for Bayesian posteri…
Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models
Zhenyu Zhang, Akihiko Nishimura, Paul Bastide +5
Inferring concerted changes among biological traits along an evolutionary history remains an important yet challenging problem. Besides adjusting for spurious correlation induced f…
Relaxed random walks at scale
Alexander A. Fisher, Xiang Ji, Philippe Lemey +1
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 a…
Gradients do grow on trees: a linear-time -dimensional gradient for statistical phylogenetics
Xiang Ji, Zhenyu Zhang, Andrew Holbrook +5
Calculation of the log-likelihood stands as the computational bottleneck for many statistical phylogenetic algorithms. Even worse is its gradient evaluation, often used to target r…