pyABC: Efficient and robust easy-to-use approximateBayesian computation

Research article (The Journal of Open Source Software, 2022) · cited 46× · AI/ML
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pyABC: Efficient and robust easy-to-use approximateBayesian computation

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pyABC: Efficient and robust easy-to-use approximateBayesian computation is a scholarly article[1].

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  • pyABC: Efficient and robust easy-to-use approximateBayesian computation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). pyABC: Efficient and robust easy-to-use approximateBayesian computation. Retrieved May 24, 2026, from https://4ort.xyz/entity/pyabc-efficient-and-robust-easy-to-use-approximatebayesian-computation
MLA “pyABC: Efficient and robust easy-to-use approximateBayesian computation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pyabc-efficient-and-robust-easy-to-use-approximatebayesian-computation.
BibTeX @misc{4ortxyz_pyabc-efficient-and-robust-easy-to-use-approximatebayesian-computation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{pyABC: Efficient and robust easy-to-use approximateBayesian computation}}, year = {2026}, url = {https://4ort.xyz/entity/pyabc-efficient-and-robust-easy-to-use-approximatebayesian-computation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): pyABC: Efficient and robust easy-to-use approximateBayesian computation — https://4ort.xyz/entity/pyabc-efficient-and-robust-easy-to-use-approximatebayesian-computation (retrieved 2026-05-24)

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