get_est_param

Transform parameters estimated using Maximum Likelihood Estimation (MLE) in
<code>SAM</code> class, to parameters contained in MSD with structure <code>theta</code>
in <code>get_MSD</code>.

internal

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>.

Mengyang Gu

AIUQ

Ab Initio Uncertainty Quantification

Yue He

Xubo Liu

get_est_param function

<dl><dt>theta</dt>
<dd>estimated parameters through MLE</dd>
<dt>model_name</dt>
<dd>fitted stochastic process, options from ('BM','OU','FBM','OU+FBM')</dd></dl>

Arguments

Author

Transform parameters estimated in SAM class to parameters structure in MSD function — get_est_param

<dl>

<dt>theta</dt>
<dd>estimated parameters through MLE</dd>


<dt>model_name</dt>
<dd>fitted stochastic process, options from ('BM','OU','FBM','OU+FBM')</dd>

</dl>

get_est_param: Transform parameters estimated in SAM class to parameters structure in MSD function

Description

Usage

Value

Arguments

Author

References