Código QR (código de barras bidimensional)

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...

ver descrição completa

Na minha lista:
Principais autores: Ritabrata Dutta, Marcel Schoengens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira
Formato: Artigo
Idioma:Inglês
Publicado em: Foundation for Open Access Statistics 2021-11-01
coleção:Journal of Statistical Software
Assuntos:
abc
hpc
spark
mpi
parallel
imbalance
python library
Acesso em linha:https://www.jstatsoft.org/index.php/jss/article/view/3554
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados