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Review of Causal Discovery Methods Based on Graphical Models

Frontiers in genetics, 2019-06, Vol.10, p.524-524

2019

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Inferring causation from time series in Earth system sciences

Nature communications, 2019-06, Vol.10 (1), p.2553-13, Article 2553

2019

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Learning causality and causality-related learning: some recent progress

National science review, 2018-01, Vol.5 (1), p.26-29

2018

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Fast causal inference with non-random missingness by test-wise deletion

International journal of data science and analytics, 2018-08, Vol.6 (1), p.47-62

2018

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Detection of Unfaithfulness and Robust Causal Inference

Minds and machines (Dordrecht), 2008-06, Vol.18 (2), p.239-271

2008

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Causal Discovery for Observational Sciences Using Supervised Machine Learning

Journal of Data Science, 2023-04, Vol.21 (2), p.255-280

2023

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Estimating bounds on causal effects in high-dimensional and possibly confounded systems

International journal of approximate reasoning, 2017-09, Vol.88, p.371-384

2017

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Causal discovery and inference: concepts and recent methodological advances

Applied informatics, 2016-02, Vol.3 (1), p.3-28, Article 3

2016

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The three faces of faithfulness

Synthese (Dordrecht), 2016-04, Vol.193 (4), p.1011-1027

2016

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Causal discovery and epidemiology: a potential for synergy

American journal of epidemiology, 2024-10, Vol.193 (10), p.1341-1342

2024

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IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.4899-4901

2024

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Constructing Causal Life-Course Models: Comparative Study of Data-Driven and Theory-Driven Approaches

American journal of epidemiology, 2023-11, Vol.192 (11), p.1917-1927

2023

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An Algorithm for Fast Recovery of Sparse Causal Graphs

Social science computer review, 1991-04, Vol.9 (1), p.62-72

1991

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Intervention, determinism, and the causal minimality condition

Synthese (Dordrecht), 2011-10, Vol.182 (3), p.335-347

2011

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Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values

ACM transactions on intelligent systems and technology, 2019-11, Vol.10 (5), p.1-37

2019

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Causation, Prediction, and Search

1, 1993

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Methods to Expand Cell Signaling Models Using Automated Reading and Model Checking

Computational Methods in Systems Biology, p.145-159

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Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints

Machine Learning and Knowledge Discovery in Databases, 2017-09, p.142-157

2017

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Finding Pure Sub-Models for Improved Differentiation of Bi-Factor and Second-Order Models

Structural equation modeling, 2017, Vol.24 (3), p.402-413

2017

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The center for causal discovery of biomedical knowledge from big data

Journal of the American Medical Informatics Association : JAMIA, 2015-11, Vol.22 (6), p.1132-1136

2015

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Actual causation: a stone soup essay

Synthese (Dordrecht), 2010-07, Vol.175 (2), p.169-192

2010

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Causal Clustering for 2-Factor Measurement Models

Machine Learning and Knowledge Discovery in Databases, p.34-49

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Graphical models, causal inference, and econometric models

The journal of economic methodology, 2005-03, Vol.12 (1), p.3-34

Spirtes, Peter

2005

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Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling

2014

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Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome

Persuasive Technology, 2024, Vol.14636, p.287-300

2024

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Review of Causal Discovery Methods Based on Graphical Models

Inferring causation from time series in Earth system sciences

Learning causality and causality-related learning: some recent progress

Fast causal inference with non-random missingness by test-wise deletion

Detection of Unfaithfulness and Robust Causal Inference

Causal Discovery for Observational Sciences Using Supervised Machine Learning

Estimating bounds on causal effects in high-dimensional and possibly confounded systems

Causal discovery and inference: concepts and recent methodological advances

The three faces of faithfulness

Causal discovery and epidemiology: a potential for synergy

IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning

Constructing Causal Life-Course Models: Comparative Study of Data-Driven and Theory-Driven Approaches

An Algorithm for Fast Recovery of Sparse Causal Graphs

Intervention, determinism, and the causal minimality condition

Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values

Causation, Prediction, and Search

Methods to Expand Cell Signaling Models Using Automated Reading and Model Checking

Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints

Finding Pure Sub-Models for Improved Differentiation of Bi-Factor and Second-Order Models

The center for causal discovery of biomedical knowledge from big data

Actual causation: a stone soup essay

Causal Clustering for 2-Factor Measurement Models

Graphical models, causal inference, and econometric models

Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling

Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome

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