Reducing model complexity for explanation and prediction
By A. Murray. 2007
206 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Condensed Matter Physics
View Paper: https://www.semanticscholar.org/paper/0e7dfd8a242bc7f452159f7bb859edb2cb407e48
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- F. Schuurman
- W. Marra
- A. Brad Murray
- Maarten Kleinhans
- M. Tal
- M. Kirwan
- M. Knaapen
- M. Hoke
Citations in the corpus
- Physics‐based modeling of large braided sand‐bed rivers: Bar pattern formation, dynamics, and sensitivity (2013, background): “Reduced complexity models include rules that simulate certain behavior in nature on the spatial and temporal scale of interest and only the effects of smaller scales are included [e.g., Murray, 2007].”
- Biomorphodynamics: Physical‐biological feedbacks that shape landscapes (2008, background): “…provide a good start in early, exploratory stages of understanding a phenomenon [Murray, 2003], the community will ultimately need to put biomorphodynamics models on solid empirical footing, both to test the validity of exploratory models and to provide more quantitative confidence [Murray, 2007a].”