Bayesian Calibration of a Generalized SIR Model on Multilayer Trade, Financial and Energy Networks to Estimate GDP Losses in the 2022 Energy Crisis

*, *

DOI: 10.5281/zenodo.23032494
Published: 2026
Container: Not recorded
Publisher: Zenodo
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.5281/zenodo.23032494,
  title = {Bayesian Calibration of a Generalized SIR Model on Multilayer Trade, Financial and Energy Networks to Estimate GDP Losses in the 2022 Energy Crisis},
  author = {*, *},
  year = {2026},
  doi = {10.5281/zenodo.23032494},
  url = {https://doi.org/10.5281/zenodo.23032494}
}

RIS

TY  - JOUR
TI  - Bayesian Calibration of a Generalized SIR Model on Multilayer Trade, Financial and Energy Networks to Estimate GDP Losses in the 2022 Energy Crisis
AU  - *, *
PY  - 2026
DO  - 10.5281/zenodo.23032494
UR  - https://doi.org/10.5281/zenodo.23032494
ER  -

APA

*, *. (2026). Bayesian Calibration of a Generalized SIR Model on Multilayer Trade, Financial and Energy Networks to Estimate GDP Losses in the 2022 Energy Crisis. https://doi.org/10.5281/zenodo.23032494

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datacite · retrieved 2026-11-03T19:08:15.324Z