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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.3 |
rolling linux/jammy R-4.5 | AIUQ_0.5.3.tar.gz |
744.9 KiB |
0.5.3 |
rolling linux/noble R-4.5 | AIUQ_0.5.3.tar.gz |
744.5 KiB |
0.5.3 |
rolling source/ R- | AIUQ_0.5.3.tar.gz |
432.3 KiB |
0.5.3 |
latest linux/jammy R-4.5 | AIUQ_0.5.3.tar.gz |
744.9 KiB |
0.5.3 |
latest linux/noble R-4.5 | AIUQ_0.5.3.tar.gz |
744.5 KiB |
0.5.3 |
latest source/ R- | AIUQ_0.5.3.tar.gz |
432.3 KiB |
0.5.3 |
2026-04-26 source/ R- | AIUQ_0.5.3.tar.gz |
432.3 KiB |
0.5.3 |
2026-04-23 source/ R- | AIUQ_0.5.3.tar.gz |
432.3 KiB |
0.5.3 |
2026-04-09 windows/windows R-4.5 | AIUQ_0.5.3.zip |
745.3 KiB |
0.5.3 |
2025-04-20 source/ R- | AIUQ_0.5.3.tar.gz |
432.3 KiB |