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What is Estimating ODE Models with Error Quantification about?

This paper considers parameter estimation of ordinary differential equation (ODE) models from noisy observations. It develops a new estimation method that quantifies discretization error from numerical solutions of ODEs based on data. The method models discretization error as random variables and estimates their variance simultaneously with ODE parameters. Experimental results show the proposed method achieves robust estimation with accuracy comparable to conventional methods by successfully quantifying rel

Author

danielzhao2000

Language

EN