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

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 effort that enables domain scientists to easily apply ABC to their research without being ABC experts; using ABCpy they...

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Bibliographic Details

Published in:	Journal of Statistical Software
Main Authors:	Ritabrata Dutta, Marcel Schoengens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira
Format:	Article
Language:	English
Published:	Foundation for Open Access Statistics 2021-11-01
Subjects:	abc hpc spark mpi parallel imbalance python library
Online Access:	https://www.jstatsoft.org/index.php/jss/article/view/3554