Search Results for author: Tineke Blom

Found 6 papers, 0 papers with code

Causality and independence in perfectly adapted dynamical systems

no code implementations28 Jan 2021 Tineke Blom, Joris M. Mooij

Furthermore, we give sufficient conditions to test for the presence of perfect adaptation in experimental equilibrium data.

Causal Discovery

Robustness of Model Predictions under Extension

no code implementations8 Dec 2020 Tineke Blom, Joris M. Mooij

Often, mathematical models of the real world are simplified representations of complex systems.

Conditional independences and causal relations implied by sets of equations

no code implementations14 Jul 2020 Tineke Blom, Mirthe M. van Diepen, Joris M. Mooij

Real-world complex systems are often modelled by sets of equations with endogenous and exogenous variables.

Causal Discovery

An Upper Bound for Random Measurement Error in Causal Discovery

no code implementations18 Oct 2018 Tineke Blom, Anna Klimovskaia, Sara Magliacane, Joris M. Mooij

Causal discovery algorithms infer causal relations from data based on several assumptions, including notably the absence of measurement error.

Causal Discovery

Beyond Structural Causal Models: Causal Constraints Models

no code implementations16 May 2018 Tineke Blom, Stephan Bongers, Joris M. Mooij

Structural Causal Models (SCMs) provide a popular causal modeling framework.

Causal Modeling of Dynamical Systems

no code implementations23 Mar 2018 Stephan Bongers, Tineke Blom, Joris M. Mooij

We introduce the formal framework of structural dynamical causal models (SDCMs) that explicates the causal semantics of the system's components as part of the model.

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