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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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A Uniformly Consistent Estimator of Causal Effects under the k-Triangle-Faithfulness Assumption

Statistical science, 2014-11, Vol.29 (4), p.662-678

2014

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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, 2024-05

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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Ancestral Graph Markov Models

The Annals of statistics, 2002-08, Vol.30 (4), p.962-1030

2002

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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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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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Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis

Bioinformatics, 2019-04, Vol.35 (7), p.1204-1212

2019

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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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Causation, Prediction, and Search

1, 1993

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Finding Pure Submodels for Improved Differentiation of Bifactor and Second-Order Models

Structural equation modeling, 2017-05, Vol.24 (3), p.402-413

2017

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Editorial Special Issue on Causality: Fundamental Limits and Applications

IEEE journal on selected areas in information theory, 2023, Vol.4, p.iv-iv

2023

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Markov Equivalence for Ancestral Graphs

The Annals of statistics, 2009-10, Vol.37 (5B), p.2808-2837

2009

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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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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

A Uniformly Consistent Estimator of Causal Effects under the k-Triangle-Faithfulness Assumption

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

Ancestral Graph Markov Models

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

Intervention, determinism, and the causal minimality condition

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

Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis

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

Causation, Prediction, and Search

Finding Pure Submodels for Improved Differentiation of Bifactor and Second-Order Models

Editorial Special Issue on Causality: Fundamental Limits and Applications

Markov Equivalence for Ancestral Graphs

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

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