Compressed Principal Component Analysis of Non-Gaussian Vectors

Marc Mignolet, Christian Soize

Open source

DOI: 10.1137/20m1322029
Published: 2020-01
Container: SIAM/ASA Journal on Uncertainty Quantification
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1137/20m1322029,
  title = {Compressed Principal Component Analysis of Non-Gaussian Vectors},
  author = {Marc Mignolet and Christian Soize},
  year = {2020},
  journal = {SIAM/ASA Journal on Uncertainty Quantification},
  doi = {10.1137/20m1322029},
  url = {https://doi.org/10.1137/20m1322029}
}

RIS

TY  - JOUR
TI  - Compressed Principal Component Analysis of Non-Gaussian Vectors
AU  - Marc Mignolet
AU  - Christian Soize
PY  - 2020
JO  - SIAM/ASA Journal on Uncertainty Quantification
DO  - 10.1137/20m1322029
UR  - https://doi.org/10.1137/20m1322029
ER  -

APA

Mignolet, M., & Soize, C. (2020). Compressed Principal Component Analysis of Non-Gaussian Vectors. SIAM/ASA Journal on Uncertainty Quantification. https://doi.org/10.1137/20m1322029

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crossref · retrieved 2026-11-10T08:04:04.478Z