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Distributional regression using generalized additive models for location, scale and shape

Distributional regression models entire conditional response distributions. In this Primer, Merder et al. discuss how distributional regression is used to predict uncertainty and extreme conditions in ways often missed by classical regression and machine learning approaches.

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