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), , and Tong Lin, Jinseok Lee, Matt Helgeson, Megan T Valentine, Yimin Luo, Mengyang Gu (2026), .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("AIUQ")

0.5.5 by Mengyang Gu, 4 months ago


Browse source code at https://github.com/cran/AIUQ


Authors: Yue He [aut] , Xubo Liu [aut] , Tong Lin [aut] , Mengyang Gu [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports fftwtools, SuperGauss, methods, plot3D, RobustGaSP, geometry

Suggests knitr, rmarkdown


See at CRAN