Bayes linear analysis for ordinary differential equations

• Published in: Computational statistics & data analysis Vol. 161; p. 107228
• Main Authors: Jones, Matthew, Goldstein, Michael, Randell, David, Jonathan, Philip
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2021
• Subjects: air; Bayes linear analysis; Bayesian theory; data analysis; differential equation; Graphical models; gravity; Numerical discrepancy; Structural discrepancy; uncertainty; Uncertainty quantification; Uncertainty quantification; Numerical discrepancy; Structural discrepancy; Graphical models; Bayes linear analysis

Differential equation models are used in a wide variety of scientific fields to describe the behaviour of physical systems. Commonly, solutions to given systems of differential equations are not available in closed-form; in such situations, the solution to the system is generally approximated numeri...