AIUQ

AIUQ-package

Uncertainty quantification and inverse estimation by probabilistic generative models from the beginning of the data analysis. An example is a Fourier basis method for inverse estimation in scattering analysis of microscopy videos. It does not require specifying a certain range of Fourier bases and it substantially reduces computational cost via the generalized Schur algorithm. See the reference: Mengyang Gu, Yue He, Xubo Liu and Yimin Luo (2023), tools:::Rd_expr_doi("10.48550/arXiv.2309.02468").

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Uncertainty quantification and inverse estimation by probabilistic generative models from the beginning of the data analysis. An example is a Fourier basis method for inverse estimation in scattering analysis of microscopy videos. It does not require specifying a certain range of Fourier bases and it substantially reduces computational cost via the generalized Schur algorithm. See the reference: Mengyang Gu, Yue He, Xubo Liu and Yimin Luo (2023), <doi:10.48550/arXiv.2309.02468>.

Mengyang Gu

Ab Initio Uncertainty Quantification

Yue He

Xubo Liu

AIUQ-package function

Maintainer: Mengyang Gu <a href="/link/mengyang%40pstat.ucsb.edu?package=AIUQ&version=0.5.3" data-mini-rdoc="AIUQ::mengyang@pstat.ucsb.edu">mengyang@pstat.ucsb.edu</a>
Authors:<ul>
<li>Yue He</li>
<li>Xubo Liu</li>
</ul>

Author

AIUQ: Ab Initio Uncertainty Quantification — AIUQ-package

Maintainer: Mengyang Gu <a href='mailto:mengyang@pstat.ucsb.edu'>mengyang@pstat.ucsb.edu</a>
Authors:<ul>
<li>Yue He</li>
<li>Xubo Liu</li>
</ul>

AIUQ-package: AIUQ: Ab Initio Uncertainty Quantification

Description

Arguments

Author