|Sloppy models are multiparameter models, whose behavior depends only on a few stiff combinations of parameters, with many sloppy parameter directions largely unimportant for model predictions. We've found them ubiquitous in systems biology, in physics and in mathematics.|
About Sloppy Models
- A sloppy systems biology model
- What is Sloppiness?
- What are Sloppy Models?
- Fitting Exponentials: Prediction without parameters
- Fitting Polynomials: Where is sloppiness from?
- Why sloppiness? The Sloppy Universality Class
- Differential Geometry and Sloppy Models (Transtrum)
- Why is science possible? Sloppy models in Physics.
Sloppy model applications
- Do parameters matter? Fits versus measurements.
- Experimental design in sloppy systems
- Robustness and sloppiness
- Parameter robustness and sloppiness
- Environmental robustness and sloppiness: Circadian rhythms
- Evolvability, robustness, and sloppiness
- Paper: "Sloppiness, robustness, and evolvability in systems biology." Bryan C. Daniels, Yan-Jiun Chen, James P. Sethna, Ryan N. Gutenkunst, and Christopher R. Myers, Current Opinions in Biotechnology (2008), doi:10.1016/j.copbio.2008.06.008, pdf, and supplemental material.
- Code and data for models used in the paper:
- Estimating systematic errors for interatomic potentials and for density functional theory.
Older, unpublished models
Last Modified: May 23, 2008
This work supported by the Division of Materials Research of the U.S. National Science Foundation, through grant DMR-070167 and formerly DMR-0218475.