Search Results for author: Tineke Blom

Found 6 papers, 1 papers with code

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.

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

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

Robustness of Model Predictions under Extension

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

Mathematical models of the real world are simplified representations of complex systems.

Causality and independence in perfectly adapted dynamical systems

1 code implementation28 Jan 2021 Tineke Blom, Joris M. Mooij

Perfect adaptation in a dynamical system is the phenomenon that one or more variables have an initial transient response to a persistent change in an external stimulus but revert to their original value as the system converges to equilibrium.

Causal Discovery

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