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Methods and tools for causal discovery and causal inference [PDF]

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2022
Causality is a complex concept, which roots its developments across several fields, such as statistics, economics, epidemiology, computer science, and philosophy.
Salvatore Ruggieri, Ana Rita Nogueira, Joao Gama   +2 more
exaly   +4 more sources

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D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery

ACM Computing Surveys, 2023
Necati Cihan Camgoz, Matthew J Vowels, Richard Bowden   +2 more
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A Survey on Causal Discovery: Theory and Practice

International Journal of Approximate Reasoning, 2022
Fabio Stella, Alessio Zanga
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Large-scale chemical process causal discovery from big data with transformer-based deep learning

Chemical Engineering Research and Design, 2023
Jinsong Zhao, Deyang Wu, Huawei Ye
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Causal Discovery via Causal Star Graphs

ACM Transactions on Knowledge Discovery From Data, 2023
Shuliang Wang, Boxiang Zhao, Lianhua Chi
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Disentangling causality: assumptions in causal discovery and inference

Artificial Intelligence Review, 2023
Thomas Bäck
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Causal discovery and the problem of psychological interventions

New Ideas in Psychology, 2020
Markus I Eronen
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Hodgkin's disease and infectious mononucleosis: Is there a causal association?

Ca-A Cancer Journal for Clinicians, 1981
Mortimer J Lacher
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Causal Discovery with Attention-Based Convolutional Neural Networks

Machine Learning and Knowledge Extraction, 2019
Meike Nauta, Doina Bucur, Christin Seifert   +2 more
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