Causal network learning with non-invertible functional relationships
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Publication:830445
DOI10.1016/j.csda.2020.107141OpenAlexW3105569976MaRDI QIDQ830445
Publication date: 7 May 2021
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2004.09646
Uses Software
Cites Work
- A Non-Parametric Approach to the Change-Point Problem
- Causal inference using invariant prediction: identification and confidence intervals
- An analytical framework for supply network risk propagation: a Bayesian network approach
- Causation, prediction, and search
- Confounding and collapsibility in causal inference
- Learning Bayesian networks: The combination of knowledge and statistical data
- Parametric Statistical Change Point Analysis
- 10.1162/153244302760200696
- 10.1162/153244303321897717
- Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent
- Identifiability of Gaussian structural equation models with equal error variances
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