3 papers
stat.ME2020
A causal framework for distribution generalization
Rune Christiansen, Niklas Pfister, Martin Emil Jakobsen +2
We consider the problem of predicting a response from a set of covariates when test and training distributions differ. Since such differences may have causal explanations,…
stat.ME2020
Towards Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia
Rune Christiansen, Matthias Baumann, Tobias Kuemmerle +2
In many data scientific problems, we are interested in inferring causal relationships in the data generating mechanism. Here, we consider the following real-world question: how has…
math.ST2018
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables
Rune Christiansen, Jonas Peters
Given a response and a vector of predictors, we investigate the problem of inferring direct causes of among the vector . Models for that…