scholarly journals Likelihood Functions for State Space Models with Diffuse Initial Conditions

2006 ◽  
Author(s):  
Marc Francke ◽  
Siem Jan Koopman ◽  
Aart F. de Vos
2010 ◽  
Vol 31 (6) ◽  
pp. 407-414 ◽  
Author(s):  
Marc K. Francke ◽  
Siem Jan Koopman ◽  
Aart F. De Vos

Author(s):  
Jonathan Rougier

If you seem to be able to do data assimilation with uncertain static parameters then you are probably not working in environmental science. In this field, applications are often characterized by sensitive dependence on initial conditions and attracting sets in the state-space, which, taken together, can be a major challenge to numerical methods, leading to very peaky likelihood functions. Inherently stochastic models and uncertain static parameters increase the challenge.


2009 ◽  
Vol 129 (12) ◽  
pp. 1187-1194 ◽  
Author(s):  
Jorge Ivan Medina Martinez ◽  
Kazushi Nakano ◽  
Kohji Higuchi

2008 ◽  
Vol 42 (6-8) ◽  
pp. 939-951 ◽  
Author(s):  
Tounsia Jamah ◽  
Rachid Mansouri ◽  
Saïd Djennoune ◽  
Maâmar Bettayeb

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