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]