11 citations · 57 across the 46 of their papers we have counts for
3 papers · 2 filters
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…
A Fast and Scalable Implementation Method for Competing Risks Data with the R Package fastcmprsk
Eric S Kawaguchi, Jenny I Shen, Gang Li +1
Advancements in medical informatics tools and high-throughput biological experimentation make large-scale biomedical data routinely accessible to researchers. Competing risks data…
Massive parallelization boosts big Bayesian multidimensional scaling
Andrew Holbrook, Philippe Lemey, Guy Baele +4
Big Bayes is the computationally intensive co-application of big data and large, expressive Bayesian models for the analysis of complex phenomena in scientific inference and statis…