Parameter Estimation Using Integral Equations
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
Parameter Estimation Using Integral Equations
Author(s) :
Lemaire, Francois [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Roussel, Louis [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Roussel, Louis [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Conference title :
Maple Conference 2023
City :
Online Conference
Country :
Canada
Start date of the conference :
2023-10-26
English keyword(s) :
Integro differential equations
Parameter estimation
Parameter estimation
HAL domain(s) :
Informatique [cs]
Informatique [cs]/Calcul formel [cs.SC]
Informatique [cs]/Calcul formel [cs.SC]
English abstract : [en]
Many models, such as the SIR (Susceptible, Infectious, Recovered) epidemiology model, consist of non-linear differential equations, involving unknown numerical parameters (e.g rate of propagation of a virus).Under conditions, ...
Show more >Many models, such as the SIR (Susceptible, Infectious, Recovered) epidemiology model, consist of non-linear differential equations, involving unknown numerical parameters (e.g rate of propagation of a virus).Under conditions, it is possible to compute Input/Output (I/O) differential equations involving only the inputs (known quantity), the output (known measured quantity with noise) and the parameters. Those I/O equations can then be used to retrieve the values of the parameters from experimental curves.Instead of using differential equations, we consider integral equations. Indeed, in some examples, the introduction of integral equations increases the expressiveness of the models, improves the estimation of parameter values from error-prone measurements and reduces the size of the intermediate equations.Differential I/O equations can be automatically computed using differential elimination, with the DifferentialAlgebra in Maple. Integral I/O equations are more difficult to obtain. For the moment, we either integrate differential I/O equations (which sometimes require the computation of integrating factors) or perform an ad-hoc "integral" elimination.In my talk, I will first describe the computation of integral I/O equations using academic examples and present some partial results of the computation of integrating factors using deep learning. Then I will compare I/O equations of an academic example in terms of the quality of parameter estimation.Show less >
Show more >Many models, such as the SIR (Susceptible, Infectious, Recovered) epidemiology model, consist of non-linear differential equations, involving unknown numerical parameters (e.g rate of propagation of a virus).Under conditions, it is possible to compute Input/Output (I/O) differential equations involving only the inputs (known quantity), the output (known measured quantity with noise) and the parameters. Those I/O equations can then be used to retrieve the values of the parameters from experimental curves.Instead of using differential equations, we consider integral equations. Indeed, in some examples, the introduction of integral equations increases the expressiveness of the models, improves the estimation of parameter values from error-prone measurements and reduces the size of the intermediate equations.Differential I/O equations can be automatically computed using differential elimination, with the DifferentialAlgebra in Maple. Integral I/O equations are more difficult to obtain. For the moment, we either integrate differential I/O equations (which sometimes require the computation of integrating factors) or perform an ad-hoc "integral" elimination.In my talk, I will first describe the computation of integral I/O equations using academic examples and present some partial results of the computation of integrating factors using deep learning. Then I will compare I/O equations of an academic example in terms of the quality of parameter estimation.Show less >
Language :
Anglais
Peer reviewed article :
Non
Audience :
Internationale
Popular science :
Non
ANR Project :
Collections :
Source :