L2 Model Reduction and Variance Reduction
In this contribution we demonstrate that estimating a low order model (leaving some dynamics unmodeled) by L2 model reduction of a higher order estimated model may give smaller variance and mean square error than directly estimating it from the same data that produced the high order model.
Tjärnström, Fredrik, Ljung, Lennart
openaire +2 more sources
Systematic data-driven genome-scale metabolic model reduction for bioprocess modeling: CHO culture case study. [PDF]
Antonakoudis A, Richelle A.
europepmc +1 more source
A linear pathway for inositol pyrophosphate metabolism revealed by 18O labeling and model reduction. [PDF]
Hermes J +6 more
europepmc +1 more source
Model Reduction for Flow Analysis and Control
Clarence W. Rowley, Scott T. M. Dawson
semanticscholar +1 more source
Model reduction of structural mechanical response in the time domain. [PDF]
Yan X, Guo X, He N, Shi J, Zhao D.
europepmc +1 more source
An Information-Theory-Based Approach for Optimal Model Reduction of Biomolecules. [PDF]
Giulini M +3 more
europepmc +1 more source
A Hybrid Approach to Model Reduction of Generalized Langevin Dynamics. [PDF]
Colangeli M, Duong MH, Muntean A.
europepmc +1 more source
Parallel Tempering with Lasso for model reduction in systems biology. [PDF]
Gupta S, Lee REC, Faeder JR.
europepmc +1 more source
Geometric Subspace Updates with Applications to Online Adaptive Nonlinear Model Reduction
Ralf Zimmermann +2 more
semanticscholar +1 more source
Physics-informed machine learning for automatic model reduction in chemical reaction networks. [PDF]
Pateras J +4 more
europepmc +1 more source

