35 citations · 76 across the 6 of their papers we have counts for
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stat.ME2020
Score Matched Neural Exponential Families for Likelihood-Free Inference
Lorenzo Pacchiardi, Ritabrata Dutta
Bayesian Likelihood-Free Inference (LFI) approaches allow to obtain posterior distributions for stochastic models with intractable likelihood, by relying on model simulations. In A…
stat.AP2020★ 35 cited
Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic
Ritabrata Dutta, Susana Gomes, Dante Kalise +1
A mathematical model for the COVID-19 pandemic spread, which integrates age-structured Susceptible-Exposed-Infected-Recovered-Deceased dynamics with real mobile phone data accounti…