Alexander Demin

Practical Algebraic Parameter Estimation for Noisy Data via Gaussian Process Regression

Parameter estimation for ordinary differential equation (ODE) models is a fundamental task that is often complicated by the limitations of conventional optimization-based methods. In theory, differential-algebraic approaches offer an appealing alternative: they reduce the problem to polynomial system solving and do not...