Topic 6: Generalized additive models. We now turn to the major topic of generalized additive models (GAMs). GAMs generalize many of concepts and topics covered so far and represent a powerful and ...

We then move on to the major topic of generalized additive models (GAMs) and generalized additive mixed models (GAMMs), which can be viewed as the generalization of all the basis function regression ...

But when it comes to modelling with data whose distribution is not following the Gaussian distribution, the results from the simple linear model can be nonlinear. There are various modifications we ...

The generalized groves of neural additive models separate features into three categories: linear features, individual nonlinear features, and interacted nonlinear features. Additionally, interactions ...

A statistical model more often employed is linear discriminant analysis (LDA). However, LDA implies several limitations in the type of variables that it can analyze. In this work, we have developed a ...

Neural partially linear additive model. Higher Education Press . Journal Frontiers of Computer Science DOI 10.1007/s11704-023-2662-3 ...

Generalized additive models reduce the total cost of misclassification. Abstract This study uses data on consumer credit provided by a German retail and trading company along with generalized additive ...