15 citations · 29 across the 6 of their papers we have counts for
3 papers · 1 filter
An Upper Bound for Random Measurement Error in Causal Discovery
Tineke Blom, Anna Klimovskaia, Sara Magliacane +1
Causal discovery algorithms infer causal relations from data based on several assumptions, including notably the absence of measurement error. However, this assumption is most like…
Beyond Structural Causal Models: Causal Constraints Models
Tineke Blom, Stephan Bongers, Joris M. Mooij
Structural Causal Models (SCMs) provide a popular causal modeling framework. In this work, we show that SCMs are not flexible enough to give a complete causal representation of dyn…
Causal Modeling of Dynamical Systems
Stephan Bongers, Tineke Blom, Joris M. Mooij
Dynamical systems are widely used in science and engineering to model systems consisting of several interacting components. Often, they can be given a causal interpretation in the…