An approximate control variates approach to multifidelity distribution estimation


Journal article


Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu
SIAM/ASA Journal on Uncertainty Quantification, vol. 12(4), 2024

DOI: https://doi.org/10.48550/arXiv.2303.06422

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APA   Click to copy
Han, R., Kramer, B., Lee, D., Narayan, A., & Xu, Y. (2024). An approximate control variates approach to multifidelity distribution estimation. SIAM/ASA Journal on Uncertainty Quantification, 12(4). https://doi.org/ https://doi.org/10.48550/arXiv.2303.06422


Chicago/Turabian   Click to copy
Han, Ruijian, Boris Kramer, Dongjin Lee, Akil Narayan, and Yiming Xu. “An Approximate Control Variates Approach to Multifidelity Distribution Estimation.” SIAM/ASA Journal on Uncertainty Quantification 12, no. 4 (2024).


MLA   Click to copy
Han, Ruijian, et al. “An Approximate Control Variates Approach to Multifidelity Distribution Estimation.” SIAM/ASA Journal on Uncertainty Quantification, vol. 12, no. 4, 2024, doi: https://doi.org/10.48550/arXiv.2303.06422.


BibTeX   Click to copy

@article{ruijian2024a,
  title = {An approximate control variates approach to multifidelity distribution estimation},
  year = {2024},
  issue = {4},
  journal = {SIAM/ASA Journal on Uncertainty Quantification},
  volume = {12},
  doi = { https://doi.org/10.48550/arXiv.2303.06422},
  author = {Han, Ruijian and Kramer, Boris and Lee, Dongjin and Narayan, Akil and Xu, Yiming}
}


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