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  1. Hierarchical Causal Models

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  2. Boosting Causal Additive Models

    Published in JMLR (2026)
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  3. Boosting Causal Additive Models

    Published in JMLR (2026)
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  4. Boosting Causal Additive Models

    Published in JMLR (2026)
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  5. Boosting Causal Additive Models

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  6. Temporal Causal Models as a Model of Computation

    Published in ArXiv cs.FL Recent Papers (2026)
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  7. Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

    Published in JMLR (2026)
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  8. Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

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  9. Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

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  10. Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

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  11. Causal modelling of climate-fish-fisheries: confronting models with data

    Published in PeerJ (2026)
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  12. Introduction to structural causal models in science studies

    Published in Quantitative Science Studies (2026)
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  13. Identifying Weight-Variant Latent Causal Models

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  14. DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning

    Published in Journal of Open Source Software (2026)
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  15. Shadow-Loom: Causal Reasoning over Graphical World Model of Narratives

    Published in ArXiv cs.CL Recent Papers (2026)
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  16. "A causal model of teacher factors and students’ achievement in senior secondary English language "

    Published 2010
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  17. DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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  18. DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

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  19. DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

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  20. DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

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