119 citations · 638 across the 44 of their papers we have counts for
3 papers · 1 filter
Practical Algebraic Parameter Estimation for Noisy Data via Gaussian Process Regression
Oren Bassik, Alexander Demin, Alexey Ovchinnikov
Parameter estimation for ordinary differential equation (ODE) models is a fundamental task that is often complicated by the limitations of conventional optimization-based methods.…
Identifiable specializations for ODE models
Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin +1
The parameter identifiability problem for a dynamical system is to determine whether the parameters of the system can be found from data for the outputs of the system. Verifying wh…
Computing all identifiable functions of parameters for ODE models
Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin +1
Parameter identifiability is a structural property of an ODE model for recovering the values of parameters from the data (i.e., from the input and output variables). This property…