get_grad_trans {AIUQ}R Documentation

Construct parameter transformation for optimization using exact gradient

Description

Construct parameter transformation for parameters to be optimized over in AIUQ method of SAM class. See 'References'.

Usage

get_grad_trans(theta, d_input, model_name)

Arguments

theta

parameters to be optimized over

d_input

sequence of lag times

model_name

model name for the fitted model, options from ('BM','OU', 'FBM',OU+FBM','user_defined')

Value

A vector of transformed parameters to be optimized over in AIUQ method of SAM class.

Author(s)

Yue He [aut], Xubo Liu [aut], Mengyang Gu [aut, cre]

References

Gu, M., He, Y., Liu, X., & Luo, Y. (2023). Ab initio uncertainty quantification in scattering analysis of microscopy. arXiv preprint arXiv:2309.02468.

Gu, M., Luo, Y., He, Y., Helgeson, M. E., & Valentine, M. T. (2021). Uncertainty quantification and estimation in differential dynamic microscopy. Physical Review E, 104(3), 034610.


[Package AIUQ version 0.5.3 Index]