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Benjamin M. Bolker

Researcher at McMaster University

Publications -  159
Citations -  90175

Benjamin M. Bolker is an academic researcher from McMaster University. The author has contributed to research in topics: Population & Generalized linear mixed model. The author has an hindex of 57, co-authored 150 publications receiving 60042 citations. Previous affiliations of Benjamin M. Bolker include Princeton University & University of Cambridge.

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Consequences of nest site selection vary along a tidal gradient.

TL;DR: The results suggest that males compete more intensively for nest sites in the low intertidal, where they can raise their young quickly and with lower per-offspring investments, possibly to bolster brood survival under harsh environmental conditions.
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Testing and Isolation Efficacy: Insights from a Simple Epidemic Model

TL;DR: In this paper, the authors used a simple model to explore how the individual-level effects of testing might directly impact population-level spread and found that focusing testing on infected individuals always acts to increase effectiveness of control.
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Modelling song popularity as a contagious process

TL;DR: In this article, the authors find that download count time series for many popular songs resemble infectious disease epidemic curves and suggest that popular songs are often said to be contagious, infectious or viral.
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Translating Probability Density Functions: From R to BUGS and Back Again

TL;DR: Different parameterizations used by the R and BUGS languages are reviewed, how to translate between the languages is described, and an R function is provided, r2bugs.distributions, that transforms parameterizations from R to BUGs and back again.
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Human ectoparasite transmission of the plague during the Second Pandemic is only weakly supported by proposed mathematical models.

TL;DR: It is inferred that human ectoparasites were the dominant mode of transmission of plague during the Second Pandemic by comparing models representing distinct transmission routes, but the analysis does not support their main conclusion.