Additive modelling offers a flexible framework in which a response variable is expressed as the sum of smooth functions of predictors. Central to this approach are smoothing techniques that control ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

Generalized additive models (GAMs) are commonly used in ecological research for their ability to model complex nonlinear relationships. However, assessing predictor importance in the presence of ...