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Poster (Scientific congresses and symposiums)
State-of-the-Art of Bayesian Inference Methods in Differential Equations.
Bonou, Wilfried; Lambert, Philippe; Frasso, Gianluca
2015The 23rd annual meeting of the Belgian Statistical Society (BSS2015)
 

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Abstract :
[en] We give an overview of Bayesian inference methods applied to parameter estimation in models specified by differential equations. The explored Bayesian methods go from the most basic MCMC samplers to particle filtering when considering our model as a state-space model. Comparison with frequentist estimating strategies are also made.
Disciplines :
Mathematics
Author, co-author :
Bonou, Wilfried ;  Université de Liège > Faculté des sciences sociales > Méthodes quantitatives en sciences sociales
Lambert, Philippe;  Université de Liège - ULiège > Faculté des sciences sociales > Méthodes quantitatives en sciences sociales
Frasso, Gianluca;  Université de Liège - ULiège > Faculté des sciences sociales > Méthodes quantitatives en sciences sociales
Language :
English
Title :
State-of-the-Art of Bayesian Inference Methods in Differential Equations.
Publication date :
October 2015
Event name :
The 23rd annual meeting of the Belgian Statistical Society (BSS2015)
Event organizer :
The Belgian Statistical Society
Event place :
Antwerp, Belgium
Event date :
October 14-16, 2015
Available on ORBi :
since 02 April 2017

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