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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Vydané v:	Journal of statistical software Ročník 100; číslo 7; s. 1 - 38
Hlavní autori:	Dutta, Ritabrata, Schoengens, Marcel, Pacchiardi, Lorenzo, Ummadisingu, Avinash, Widmer, Nicole, Künzli, Pierre, Onnela, Jukka-Pekka, Mira, Antonietta
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Foundation for Open Access Statistics 01.11.2021
Predmet:	abc hpc imbalance mpi parallel python library spark
ISSN:	1548-7660, 1548-7660
On-line prístup:	Získať plný text
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