MAnifold-Constrained Gaussian Process Inference
Calculate stationary Gaussian process kernel
The FitzHugh-Nagumo (FN) equations
Conditional covariance of Gaussian process given observations
Conditional mean of Gaussian process given observations
Gaussian process smoothing
Marginal log-likelihood for Gaussian process smoothing
Protein transduction model
Hes1 equations: oscillation of mRNA and protein levels
MagiSolver output (magioutput) object
magi: MAnifold-Constrained Gaussian Process Inference
MAGI posterior density
MAnifold-constrained Gaussian process Inference (MAGI)
Generate plots from magioutput object
Set discretization level
Summary of parameter estimates from magioutput object
Test dynamic system model specification
Provides fast and accurate inference for the parameter estimation problem in Ordinary Differential Equations, including the case when there are unobserved system components. Implements the MAGI method (MAnifold-constrained Gaussian process Inference) of Yang, Wong, and Kou (2021) <doi:10.1073/pnas.2020397118>. A user guide is provided by the accompanying software paper Wong, Yang, and Kou (2024) <doi:10.18637/jss.v109.i04>.