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 ...
In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...
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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