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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>.
| Version: | 0.5.2 |
| Imports: | fftwtools (≥ 0.9.11), SuperGauss (≥ 2.0.3), methods, plot3D (≥ 1.4) |
| Published: | 2024-05-04 |
| Author: | Yue He [aut], Xubo Liu [aut], Mengyang Gu [aut, cre] |
| Maintainer: | Mengyang Gu <mengyang at pstat.ucsb.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| CRAN checks: | AIUQ results |
| Reference manual: | AIUQ.pdf |
| Package source: | AIUQ_0.5.2.tar.gz |
| Windows binaries: | r-devel: AIUQ_0.5.2.zip, r-release: AIUQ_0.5.2.zip, r-oldrel: AIUQ_0.5.2.zip |
| macOS binaries: | r-release (arm64): AIUQ_0.5.2.tgz, r-oldrel (arm64): AIUQ_0.5.2.tgz, r-release (x86_64): AIUQ_0.5.2.tgz, r-oldrel (x86_64): AIUQ_0.5.2.tgz |
| Old sources: | AIUQ archive |
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