ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation-Reference-Cited by-同舟云学术

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

Published:2021 Issue:7 Volume:100 Page:
ISSN:1548-7660
Container-title:Journal of Statistical Software
language:en
Short-container-title:J. Stat. Soft.

Author:

Dutta Ritabrata,Schoengens Marcel,Pacchiardi Lorenzo,Ummadisingu Avinash,Widmer Nicole,Künzli Pierre,Onnela Jukka-Pekka,Mira Antonietta

Publisher

Foundation for Open Access Statistic

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Software

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Past, Present and Future of Software for Bayesian Inference;Statistical Science;2024-02-01

2. Guided Sequential ABC Schemes for Intractable Bayesian Models;Bayesian Analysis;2024-01-01

3. UQpy v4.1: Uncertainty quantification with Python;SoftwareX;2023-12

4. BlackBIRDS: Black-Box Inference foR Differentiable Simulators;Journal of Open Source Software;2023-09-28

5. BayesFlow: Amortized Bayesian Workflows With Neural Networks;Journal of Open Source Software;2023-09-22

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