Description
Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations.
Description
The kernel ridge regression and the gradient matching algorithm proposed in Niu et al. (2016) <https://proceedings.mlr.press/v48/niu16.html> and the warping algorithm proposed in Niu et al. (2017) <DOI:10.1007/s00180-017-0753-z> are implemented for parameter inference in differential equations. Four schemes are provided for improving parameter estimation in odes by using the odes regularisation and warping.
README.md
KGode
Parameter inference in dynamical models using Gradient Matching (https://github.com/mu2013/KGode.git)