Gaussian process (GP) models encounter computational difficulties with large spatial data sets, because the models’ computational complexity grows cubically with the sample size n. Although a ...
Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive ...
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