Can mass shootings be forecast? Mohammad R.K. Mofrad and colleagues constructed an agent-based model of mass shootings within ...
Authors Christopher B. DuRoss, Scott E.K. Bennett, Richard W. Briggs, Stephen Personius, Ryan D. Gold, Nadine G. Reitman, Adam I. Hiscock, Shannon A. Mahan ...
IntroductionPurpose of this bookThis book depicts the path from Bayesian inference to deep learning as a single long-form technical volume. There is one central theme: how can we handle uncertainty in ...
For some reason, this model won't predict the minority class.”It's frustrating. Many engineers have felt this way.However, ...
Floods remain among the deadliest and most economically destructive natural hazards on Earth, and the window in which authorities can act before catastrophic inundation is often measured in hours ...
Authors Charles B Yackulic, Maria C Dzul, Jane A Reid, Jamie S. Sanderlin, William M. Block, Joseph L. Ganey, Michael J Dodrill, Mike D Yard ...
This paper puts forward a Bayesian unsmoothing method to model smoothing parameters probabilistically which mitigates ...
Fine particulate matter, the invisible haze of particles smaller than 2.5 microns that drifts from traffic, industry, and wildfire smoke, has long been linked to respiratory and cardiovascular ...