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 ...
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 ...
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When it comes to statistics, we usually expect to be informed about what happens “on average”. But sometimes the key information lies in the deviations from that mean: How likely is heavy rain, ...
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