scholarly journals Automated model selection for simulation based on relevance reasoning

1997 ◽  
Vol 96 (2) ◽  
pp. 351-394 ◽  
Author(s):  
Alon Y. Levy ◽  
Yumi Iwasaki ◽  
Richard Fikes
Keyword(s):  
Model Selection ◽  
Simulation Based ◽  
Selection For

scholarly journals Simulation-based model selection for dynamical systems in systems and population biology

2009 ◽  
Vol 26 (1) ◽  
pp. 104-110 ◽  
Author(s):  
Tina Toni ◽  
Michael P. H. Stumpf
Keyword(s):  
Dynamical Systems ◽  
Model Selection ◽  
Population Biology ◽  
Simulation Based ◽  
Selection For

Earth Model Selection for Computer Simulations

1989 ◽  
Author(s):  
J. J. Pich ◽  
S. S. Leroy
Keyword(s):  
Model Selection ◽  
Computer Simulations ◽  
Earth Model ◽  
Selection For

scholarly journals Optimization of Aerosol Model Selection for TROPOMI/S5P

2021 ◽  
Vol 13 (13) ◽  
pp. 2489
Author(s):  
Lanlan Rao ◽  
Jian Xu ◽  
Dmitry S. Efremenko ◽  
Diego G. Loyola ◽  
Adrian Doicu
Keyword(s):  
Model Selection ◽  
Insufficient Information ◽  
Satellite Measurements ◽  
Model Uncertainties ◽  
Bayesian Algorithm ◽  
Layer Height ◽  
Aerosol Model ◽  
Selection For ◽  
Temporal Inhomogeneity ◽  
Aerosol Properties

To retrieve aerosol properties from satellite measurements, micro-physical aerosol models have to be assumed. Due to the spatial and temporal inhomogeneity of aerosols, choosing an appropriate aerosol model is an important task. In this paper, we use a Bayesian algorithm that takes into account model uncertainties to retrieve the aerosol optical depth and layer height from synthetic and real TROPOMI O2A band measurements. The results show that in case of insufficient information for an appropriate micro-physical model selection, the Bayesian algorithm improves the accuracy of the solution.

Multiple order model migration and optimal model selection for online glucose prediction in Type 1 diabetes

AIChE Journal ◽  
2017 ◽  
Vol 64 (3) ◽  
pp. 822-834 ◽  
Author(s):  
Hong Zhao ◽  
Chunhui Zhao ◽  
Chengxia Yu ◽  
Eyal Dassau
Keyword(s):  
Type 1 Diabetes ◽  
Model Selection ◽  
Optimal Model ◽  
Order Model ◽  
Model Migration ◽  
Selection For ◽  
Glucose Prediction
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