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 Vol. 100; no. 7; pp. 1 - 38
Main Authors:	Dutta, Ritabrata, Schoengens, Marcel, Pacchiardi, Lorenzo, Ummadisingu, Avinash, Widmer, Nicole, Künzli, Pierre, Onnela, Jukka-Pekka, Mira, Antonietta
Format:	Journal Article
Language:	English
Published:	Foundation for Open Access Statistics 01.11.2021
Subjects:	abc hpc imbalance mpi parallel python library spark
ISSN:	1548-7660, 1548-7660
Online Access:	Get full text
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