Inference in High-Dimensional Settings

First, the problem of inference in high-dimensional settings in the linear model is introduced and the double machine learning framework as potential solution is presented. Second, the Double Machine Learning framework is applied to important models, like transformation models, Gaussian Graphical Models and Additive Models. Finally, an application is presented.