A Bayesian ensemble of sensitivity measures for severe accident modeling

Seyed Mohsen Hoseyni, Francesco Di Maio, Matteo Vagnoli, Enrico Zio, Mohammad Pourgol-Mohammad

Open source

DOI
10.1016/j.nucengdes.2015.09.021
Published
2015-12
Container
Nuclear Engineering and Design
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.nucengdes.2015.09.021,
  title = {A Bayesian ensemble of sensitivity measures for severe accident modeling},
  author = {Seyed Mohsen Hoseyni and Francesco Di Maio and Matteo Vagnoli and Enrico Zio and Mohammad Pourgol-Mohammad},
  year = {2015},
  journal = {Nuclear Engineering and Design},
  doi = {10.1016/j.nucengdes.2015.09.021},
  url = {https://doi.org/10.1016/j.nucengdes.2015.09.021}
}

RIS

TY  - JOUR
TI  - A Bayesian ensemble of sensitivity measures for severe accident modeling
AU  - Seyed Mohsen Hoseyni
AU  - Francesco Di Maio
AU  - Matteo Vagnoli
AU  - Enrico Zio
AU  - Mohammad Pourgol-Mohammad
PY  - 2015
JO  - Nuclear Engineering and Design
DO  - 10.1016/j.nucengdes.2015.09.021
UR  - https://doi.org/10.1016/j.nucengdes.2015.09.021
ER  - 

APA

Hoseyni, S. M., Maio, F. D., Vagnoli, M., Zio, E., & Pourgol-Mohammad, M. (2015). A Bayesian ensemble of sensitivity measures for severe accident modeling. Nuclear Engineering and Design. https://doi.org/10.1016/j.nucengdes.2015.09.021

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