Add to ORKGThe problem of model identifiability is addressed. The goal is to find all the structural models within a specified class that produce the same output at a set of observed degrees of freedom as a given model in the class when they are all subjected to the same input. A new algorithm is presented to solve this problem for a class of multi-degree-of-freedom linear structural models, and the approach is illustrated with examples
A number of inconsistencies, misunderstandings and ambiguities have arisen in the recent literature ...
In biology and mathematics compartmental systems are frequently used. System identification of syste...
Analysing the properties of a biological system through in silico experimentation requires a satisfa...
The problem of model identifiability is addressed. The goal is to find all the structural models wi...
A methodology is presented to investigate global identifiability within a class of structural model...
We may attempt to encapsulate what we know about a physical system by a model structure, S. This col...
A brief introduction is given to the problems of parametrization and identifiability. A distinction ...
Structural identifiability analysis of nonlinear dynamic models requires symbolic manipulations, who...
Abstract. Identifiability concerns finding which unknown parameters of a model can be estimated from...
The identifiability of linear dynamic models with autocorrelated errors is considered. Without a pri...
A prerequisite for a well-posed inference problem is that there exists a unique solution for any giv...
A powerful way of gaining insight into biological systems is by creating a nonlinear differential eq...
International audienceThis paper presents a method for investigating, through an automatic procedure...
(A) Typically, model parameters, are considered functions of the log-likelihood, ℓ(p), a one-dimens...
4 pages, 1 figureA parameter is structurally identifiable if its value can theoretically be estimate...
A number of inconsistencies, misunderstandings and ambiguities have arisen in the recent literature ...
In biology and mathematics compartmental systems are frequently used. System identification of syste...
Analysing the properties of a biological system through in silico experimentation requires a satisfa...
The problem of model identifiability is addressed. The goal is to find all the structural models wi...
A methodology is presented to investigate global identifiability within a class of structural model...
We may attempt to encapsulate what we know about a physical system by a model structure, S. This col...
A brief introduction is given to the problems of parametrization and identifiability. A distinction ...
Structural identifiability analysis of nonlinear dynamic models requires symbolic manipulations, who...
Abstract. Identifiability concerns finding which unknown parameters of a model can be estimated from...
The identifiability of linear dynamic models with autocorrelated errors is considered. Without a pri...
A prerequisite for a well-posed inference problem is that there exists a unique solution for any giv...
A powerful way of gaining insight into biological systems is by creating a nonlinear differential eq...
International audienceThis paper presents a method for investigating, through an automatic procedure...
(A) Typically, model parameters, are considered functions of the log-likelihood, ℓ(p), a one-dimens...
4 pages, 1 figureA parameter is structurally identifiable if its value can theoretically be estimate...
A number of inconsistencies, misunderstandings and ambiguities have arisen in the recent literature ...
In biology and mathematics compartmental systems are frequently used. System identification of syste...
Analysing the properties of a biological system through in silico experimentation requires a satisfa...