Objectives We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons. Design We developed a semistochastic transmission model of COVID-19.

Shen et al. present a computational account of individual differences in mouse exploration when faced with a novel object in an open field from a previously published study (Akiti et al.) that relates ...

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Animals constantly face the problem of estimating unknown world states from noisy and ambiguous sensory input in a dynamical environment. Neuro-psychophysical experiments have suggested brains handle ...

Officials with the Idaho Department of Fish and Game estimated the wolf population in Idaho to be about 1,235 wolves as of May 2024, which state officials said Thursday is a decrease of almost 100 ...

Abstract: In this study, comprehensive approximate Bayesian computation (ABC) technique is explored, and develop for an innovative model. We practically demonstrate approximate Bayesian computation ...

More than three months after the $40 million Bayesian superyacht sank off the coast of Sicily, killing seven people including British tech titan Mike Lynch and his 18-year-old daughter, plans to raise ...

The authors proposed an important novel deep-learning framework to estimate posterior distributions of tissue microstructure parameters. The method shows superior performance to conventional Bayesian ...

A new computer simulation of how our brains develop and grow neurons has been built by scientists from the University of Surrey. Along with improving our understanding of how the brain works, ...

A new computer simulation of how our brains develop and grow neurons has been built. Along with improving our understanding of how the brain works, researchers hope that the models will contribute to ...