Sloppy Models
sloppy-modelsparameter-estimationsystems-biologyphysics
Abstraction: Multiparameter models where few stiff combinations govern behavior
Key points:
- Sloppy models are multiparameter models whose behavior depends on only a few "stiff" parameter combinations; most parameter directions are "sloppy" and largely unimportant
- Found ubiquitously in systems biology, physics, and mathematics
- Research group at Cornell (Sethna lab) studies sloppiness and its implications for model fitting and prediction
- Related software: SloppyCell (sourceforge); associated textbook on Statistical Mechanics by James Sethna
Connections: James Sethna · Cornell University · Sloppy Models · Parameter Estimation · Systems Biology
Source: http://www.lassp.cornell.edu/sethna/Sloppy/index.html