Probabilistic program inference in network-based epidemiological simulations

HIGHLIGHTS

• who: Niklas Smedemark-Margulies and collaborators from the Khoury College of Computer Science, Northeastern University, Boston, Massachusetts, United States of have published the research: Probabilistic program inference in network-based epidemiological simulations, in the Journal: (JOURNAL) of December/12,/2021
• what: The authors demonstrate the effectiveness of probabilistic programming for parameter inference in these models. The experiments demonstrate that the resulting models improve the quality of fit in multiple geographies relative to baselines that do not model network topology. To apply probabilistic programming methods to parameter estimation for finegrained disease simulations, the authors implement an . . .
  

   

  

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