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), <arXiv:2309.02468>.
Version: |
0.5.0 |
Imports: |
fftwtools (≥ 0.9.11), SuperGauss (≥ 2.0.3), methods, plot3D (≥ 1.4) |
Published: |
2023-11-14 |
Author: |
Yue He [aut],
Xubo Liu [aut],
Mengyang Gu [aut, cre] |
Maintainer: |
Mengyang Gu <mengyang at pstat.ucsb.edu> |
License: |
GPL (≥ 3) |
NeedsCompilation: |
no |
CRAN checks: |
AIUQ results |
Documentation:
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