most citedSwitching Regression Models and Causal Inference in the Presence of Discrete Latent Variables

5 citations · 8 across the 2 of their papers we have counts for

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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★ 3 cited

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…