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Scalable inference algorithms for Bayesian evolutionary epidemiology

Scalable inference algorithms for Bayesian evolutionary epidemiology is a science project.

Event research_grant eu_cordis:742158
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Key Facts

  • Start time: August 1, 2017[1]
  • End time: July 31, 2022[2]
  • Participant: University of Oslo[3]
  • Short name: SCARABEE[4]
  • Budget: 2,499,961 euro[5]
  • Funding scheme: Horizon 2020[6]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [1] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [3] ↑ . wikidata.org.
  4. [4] ↑ . wikidata.org.
  5. [5] ↑ . wikidata.org.
  6. [6] ↑ . wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Scalable inference algorithms for Bayesian evolutionary epidemiology. Retrieved October 8, 2026, from https://4ort.xyz/entity/scalable-inference-algorithms-for-bayesian-evolutionary-epidemiology
MLA “Scalable inference algorithms for Bayesian evolutionary epidemiology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 8 Oct. 2026, https://4ort.xyz/entity/scalable-inference-algorithms-for-bayesian-evolutionary-epidemiology.
BibTeX @misc{4ortxyz_scalable-inference-algorithms-for-bayesian-evolutionary-epidemiology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scalable inference algorithms for Bayesian evolutionary epidemiology}}, year = {2026}, url = {https://4ort.xyz/entity/scalable-inference-algorithms-for-bayesian-evolutionary-epidemiology}, note = {Accessed: 2026-10-08}}
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