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  "Description": "Identification of causal effects from arbitrary\nobservational and experimental probability distributions via\ndo-calculus and standard probability manipulations using a\nsearch-based algorithm by Tikka, Hyttinen and Karvanen (2021)\n<doi:10.18637/jss.v099.i05>. Allows for the presence of\nmechanisms related to selection bias (Bareinboim and Tian,\n2015) <doi:10.1609/aaai.v29i1.9679>, transportability\n(Bareinboim and Pearl, 2014)\n<http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, missing data\n(Mohan, Pearl, and Tian, 2013)\n<http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary\ncombinations of these. Also supports identification in the\npresence of context-specific independence (CSI) relations\nthrough labeled directed acyclic graphs (LDAG). For details on\nCSIs see (Corander et al., 2019)\n<doi:10.1016/j.apal.2019.04.004>.",
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