6 citations · 11 across the 9 of their papers we have counts for
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stat.ME2026
Exact Graph Learning via Integer Programming
Lucas Kook, Søren Wengel Mogensen
Learning the dependence structure among variables in complex systems is a central problem across medical, natural, and social sciences. These structures can be naturally represente…
stat.ME2024
Instrumental Variable Estimation of Distributional Causal Effects
Lucas Kook, Niklas Pfister
Estimating the causal effect of a treatment on the entire response distribution is an important yet challenging task. For instance, one might be interested in how a pension plan af…
stat.ME2023★ 6 cited
Model-based causal feature selection for general response types
Lucas Kook, Sorawit Saengkyongam, Anton Rask Lundborg +2
Discovering causal relationships from observational data is a fundamental yet challenging task. Invariant causal prediction (ICP, Peters et al., 2016) is a method for causal featur…