Identifiability results for several classes of linear compartment models
N Meshkat, S Sullivant, M Eisenberg - Bulletin of Mathematical Biology, 2015 - Springer
Identifiability concerns finding which unknown parameters of a model can be estimated,
uniquely or otherwise, from given input–output data. If some subset of the parameters of a …
uniquely or otherwise, from given input–output data. If some subset of the parameters of a …
Computing all identifiable functions of parameters for ODE models
Parameter identifiability is a structural property of an ODE model for recovering the values of
parameters from the data (ie, from the input and output variables). This property is a …
parameters from the data (ie, from the input and output variables). This property is a …
Parameter identifiability and input–output equations
A Ovchinnikov, G Pogudin, P Thompson - Applicable Algebra in …, 2023 - Springer
Structural parameter identifiability is a property of a differential model with parameters that
allows for the parameters to be determined from the model equations in the absence of …
allows for the parameters to be determined from the model equations in the absence of …
Input-output equations and identifiability of linear ODE models
A Ovchinnikov, G Pogudin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Structural identifiability is a property of a differential model with parameters that allows for
the parameters to be determined from the model equations in the absence of noise. The …
the parameters to be determined from the model equations in the absence of noise. The …
Algorithm for globally identifiable reparametrizations of ODEs
S Falkensteiner, A Ovchinnikov, JR Sendra - Journal of Symbolic …, 2025 - Elsevier
Structural global parameter identifiability indicates whether one can determine a parameter's
value in an ODE model from given inputs and outputs. If a given model has parameters for …
value in an ODE model from given inputs and outputs. If a given model has parameters for …
Real identifiability vs. complex identifiability
E Angelini, C Bocci, L Chiantini - Linear and multilinear Algebra, 2018 - Taylor & Francis
A real tensor T of rank r is identifiable if it has a unique decomposition with rank 1 tensors.
Sometimes identifiability fails over, for general tensors of fixed rank. This behaviour is …
Sometimes identifiability fails over, for general tensors of fixed rank. This behaviour is …
[PDF][PDF] Algorithm to find new identifiable reparametrizations of parametric rational ODE models
A Ovchinnikova, N Meshkatb… - arXiv preprint arXiv …, 2024 - math.berkeley.edu
Structural identifiability concerns the question of which unknown parameters of a model can
be recovered from (perfect) inputoutput data. If all of the parameters of a model can be …
be recovered from (perfect) inputoutput data. If all of the parameters of a model can be …
[PDF][PDF] Computing all identifiable functions for ODE models
Parameter identifiability is a structural property of an ODE model for recovering the values of
parameters from the data (ie, from the input and output variables). This property is a …
parameters from the data (ie, from the input and output variables). This property is a …
Identifiable specializations for ODE models
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 …
parameters of the system can be found from data for the outputs of the system. Verifying …
Identifiability of linear compartmental models: the effect of moving inputs, outputs, and leaks
A mathematical model is identifiable if its parameters can be recovered from data. Here we
investigate, for linear compartmental models, whether (local, generic) identifiability is …
investigate, for linear compartmental models, whether (local, generic) identifiability is …