From probability to causality

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Causal Markov condition for submodular information measures (2010, background): “nces that hold for the given objects. ✷ 18 B Proof of Theorem 3 We only state the prove for the monotonely faithful case, since the proof in the faithful case is similar and has already been given in [26]. The basic ingredient is Lemma A5 in [26], stating that (*) any two nodes a and b that are not ”
Learning Bayesian networks: approaches and issues (2011, background): “Most of the work in learning causal networks has focused on constraint-based algorithms, building on work from Glymour et al. (1986), Spirtes et al. (1989, 1990) and Spirtes and Glymour (1990a, 1991) and also work from Geiger et al. (1990), Pearl and Verma (1991) and Verma and Pearl (1991, 1992).”
Estimating brain functional connectivity with sparse multivariate autoregression (2005, methodology): “The merge of causality analysis (Pearl 1998, 2000; Spirtes et al .”
Memory Matters: A Case for Granger Causality in Climate Variability Studies (2018, unknown): “(e.g., Spirtes et al. 1991).”