most citedDistance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption

6 citations · 6 across the 1 of their papers we have counts for

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stat.CO2019★ 6 cited

Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption

Lorenzo Pacchiardi, Pierre Kunzli, Marcel Schoengens +2

Approximate Bayesian computation (ABC) provides us with a way to infer parameters of models, for which the likelihood function is not available, from an observation. Using ABC, whi…

stat.CO2017

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation

Ritabrata Dutta, Marcel Schoengens, Lorenzo Pacchiardi +5

ABCpy is a highly modular scientific library for Approximate Bayesian Computation (ABC) written in Python. The main contribution of this paper is to document a software engineering…