Matthias C. Rillig

Statistically reinforced machine learning for nonlinear patterns and variable interactions

2017 · Ecosphere

Abstract Most statistical models assume linearity and few variable interactions, even though real‐world ecological patterns often result from nonlinear and highly interactive processes. We here introduce a set of novel empirical modeling techniques which can …