Professor LEAH BAND's Outputs (2)

Are we focusing on the right parameters? Insights from Global Sensitivity Analysis of a Functional-Structural Plant Model (2024)
Journal Article
Rutjens, R. J. L., Evers, J. B., Band, L. R., Jones, M. D., & Owen, M. R. (2024). Are we focusing on the right parameters? Insights from Global Sensitivity Analysis of a Functional-Structural Plant Model. in silico Plants, 6(2), Article diae011. https://doi.org/10.1093/insilicoplants/diae011

Performing global sensitivity analysis on functional-structural plant models (FSP models) can greatly benefit both model development and analysis by identifying the relevance of parameters for specific model outputs. Setting unimportant parameters to... Read More about Are we focusing on the right parameters? Insights from Global Sensitivity Analysis of a Functional-Structural Plant Model.

Elementary effects for models with dimensional inputs of arbitrary type and range: Scaling and trajectory generation (2023)
Journal Article
Rutjens, R. J., Band, L. R., Jones, M. D., & Owen, M. R. (2023). Elementary effects for models with dimensional inputs of arbitrary type and range: Scaling and trajectory generation. PLoS ONE, 18(10), Article e0293344. https://doi.org/10.1371/journal.pone.0293344

The Elementary Effects method is a global sensitivity analysis approach for identifying (un)important parameters in a model. However, it has almost exclusively been used where inputs are dimensionless and take values on [0, 1]. Here, we consider mode... Read More about Elementary effects for models with dimensional inputs of arbitrary type and range: Scaling and trajectory generation.