Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding - researchr publication related

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Daniel Malinsky, Peter Spirtes. Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding. In Thuc Duy Le, Kun Zhang 0001, Emre Kiciman, Aapo Hyvärinen, Lin Liu 0003, editors, Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2018, London, UK, 20 August 2018. Volume 92 of Proceedings of Machine Learning Research, pages 23-47, PMLR, 2018. [doi]

The following publications are possibly variants of this publication:

Differentiable Causal Discovery Under Unmeasured ConfoundingRohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser. aistats 2021: 2314-2322 [doi]

Graphical Models for the Identification of Causal Structures in Multivariate Time Series ModelsAlessio Moneta, Peter Spirtes. jcis 2006: [doi]

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