In this paper we develop a new machine learning estimator for ordered choice models
based on the Random Forest. The proposed Ordered Forest flexibly estimates the …

We analyse a sequential contest with two players in darts where one of the contestants
enjoys a technical advantage. Using methods from the causal machine learning literature …

We propose a statistical framework for quantifying the importance of single events that do
not provide intermediate rewards but offer implicit incentives through scheduling and the …

Ordered Choice Models▶ categorical dependent variable with inherent ordering▶
example: product quality 1. very good 2. good 3. neutral 4. bad 5. very bad▶ many other …

Methods from the field of 'machine learning'have shown immense potential to uncover
causal effects in a systematic manner. The successful incorporation of these methods in …