scientific article; zbMATH DE number 7255130
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Publication:4969163
Tom Claassen, Sara Magliacane, Joris M. Mooij
Publication date: 5 October 2020
Full work available at URL: https://arxiv.org/abs/1611.10351
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
interventionscausal inferencecausal discoveryrandomized controlled trialscausal modelingobservational and experimental data
Applications of statistics to biology and medical sciences; meta analysis (62P10) Causal inference from observational studies (62D20)
Related Items (7)
Causal inference via string diagram surgery ⋮ Causal structure learning: a combinatorial perspective ⋮ Improved baselines for causal structure learning on interventional data ⋮ Foundations of structural causal models with cycles and latent variables ⋮ JCI ⋮ Knowledge transfer for causal discovery ⋮ A survey on causal discovery: theory and practice
Uses Software
Cites Work
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- Causal inference using invariant prediction: identification and confidence intervals
- Strongly consistent nonparametric tests of conditional independence
- Joint estimation of multiple related biological networks
- Markov equivalence for ancestral graphs
- A Bayesian method for the induction of probabilistic networks from data
- Markov properties of nonrecursive causal models
- Ancestral graph Markov models.
- Learning Bayesian networks: The combination of knowledge and statistical data
- On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias
- Exact estimation of multiple directed acyclic graphs
- 10.1162/153244303321897717
- Influence Diagrams for Causal Modelling and Inference
- On the Validity of the Markov Interpretation of Path Diagrams of Gaussian Structural Equations Systems with Correlated Errors
- Identifying independence in bayesian networks
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods
- Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
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