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20112026
most citedReuse, recycle, reweigh: Combating influenza through efficient sequential Bayesian computation for massive data

11 citations · 34 across the 22 of their papers we have counts for

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6 papers · 1 filter

stat.ME20251 cited

Inhomogeneous continuous-time Markov chains to infer flexible time-varying evolutionary rates

Pratyusa Datta, Philippe Lemey, Marc A. Suchard

Reconstructing evolutionary histories and estimating the rate of evolution from molecular sequence data is of central importance in evolutionary biology and infectious disease rese…

stat.ME20214 cited

Shrinkage-based random local clocks with scalable inference

Alexander A. Fisher, Xiang Ji, Akihiko Nishimura +2

Local clock models propose that the rate of molecular evolution is constant within phylogenetic sub-trees. Current local clock inference procedures scale poorly to large taxa probl…

stat.ME2021

Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts

Martijn J. Schuemie, Yong Chen, David Madigan +1

Studies of the effects of medical interventions increasingly take place in distributed research settings using data from multiple clinical data sources including electronic health…

stat.ME2019

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…

stat.ME2019

Inferring phenotypic trait evolution on large trees with many incomplete measurements

Gabriel Hassler, Max R. Tolkoff, William L. Allen +3

Comparative biologists are often interested in inferring covariation between multiple biological traits sampled across numerous related taxa. To properly study these relationships,…

stat.ME2017

Phylogenetic Factor Analysis

Max R. Tolkoff, Michael L. Alfaro, Guy Baele +2

Phylogenetic comparative methods explore the relationships between quantitative traits adjusting for shared evolutionary history. This adjustment often occurs through a Brownian di…