AIUQ: Ab Initio Uncertainty Quantification
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>, and Tong Lin, Jinseok Lee, Matt Helgeson, Megan T Valentine, Yimin Luo, Mengyang Gu (2026), <doi:10.48550/arXiv.2605.29424>.
| Version: |
0.5.5 |
| Imports: |
fftwtools (≥ 0.9.11), SuperGauss (≥ 2.0.3), methods, plot3D (≥ 1.4), RobustGaSP, geometry |
| Suggests: |
knitr, rmarkdown |
| Published: |
2026-06-10 |
| DOI: |
10.32614/CRAN.package.AIUQ |
| Author: |
Yue He [aut],
Xubo Liu [aut],
Tong Lin [aut],
Mengyang Gu [aut, cre] |
| Maintainer: |
Mengyang Gu <mengyang at pstat.ucsb.edu> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Materials: |
ChangeLog |
| CRAN checks: |
AIUQ results |
Documentation:
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