A Probabilistic Theory Of Causality

By P. Suppes. 1970

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Citations in the corpus

Causal inference in statistics: An overview (2009, background): “…unification of the graphical, potential outcome, structural equations, decision analytical (Dawid, 2002), interventional (Woodward, 2003), sufficient component (Rothman, 1976) and probabilistic (Suppes, 1970) approaches to causation; with each approach viewed as a restricted version of the SCM. 2.”
Exposing the probabilistic causal structure of discrimination (2015, methodology): “Definition 5 (Probabilistic causation, [41]) For any two events c and e, occurring, respectively, at times tc and te, under the mild assumptions that 0 < P(c), P(e) < 1, the event c is called a prima facie cause of e if it occurs before and raises the probability of e, i.”
Judgment dissociation theory: an analysis of differences in causal, counterfactual, and covariational reasoning. (2003, background): “The causepresent information is required to compute the probability of the outcome given the proposed cause, P(B|A), which is regarded as a probabilistic measure of the sufficiency relation A ʛ B (e.g., Hilton, 1988; Suppes, 1970).”
A Tractable Inference Algorithm for Diagnosing Multiple Diseases (2013, background): “Other researchers have extended the model to accommodate situations where a finding may appear in the absence of all explicitly represented diseases, a leaky or-gate (Suppes, 1970; Henrion, 1989).”
Advances in variable selection methods I: Causal selection methods versus stepwise regression and principal component analysis on data of known and unknown functional relationships (2012, background): “…probabilistic causation based on the precept that causes increase or change the probabilities of their effects such that the conditional probability of an effect given its cause is greater than the probability of the effect in absence of the cause (Hitchcock, 2010; Suppes, 1970; Cartwright, 1979).”
From covariation to causation: A causal power theory. (1997, background): “One prediction is that even untutored reasoners, including children, will be unwilling to judge a covarying candidate to be a genuine cause (to use Suppess, 1970, terminology) if they are aware of the existence of an alternative cause and believe that it does not occur independently of the candidate”
Counterfactuals, Hypotheticals and Potential Responses: A Philosophical Examination of Statistical Causality (2006, background): “However (unlike the distantly related topic of “probabilistic causality” (Suppes 1970)) this extensive enterprise of “statistical causality” appears to be essentially unknown territory to philosophers.”
Probabilities Of Causation: Three Counterfactual Interpretations And Their Identification (1999, background): “Suppes (1970) calls for conditioning on the entire past, up to the occurrence of the cause.”
Automated Machine Learning: Methods, Systems, Challenges (2019, unknown): “It can be shown [67] that if no restrictions are placed, it is always possible to find a function f and noise N such that Y := f (X,N) and another function f and noise N such that X := f (Y,N).”
Causality And Price Discovery: An Application Of Directed Acyclic Graphs (2004, background): “If variable X causes both Y and Z and we leave X out of the analysis, then an apparent causal flow from Y to Z (or vice versa) may be due to the fact that X causes both Y and Z, so the causal flow identified as running from Y to Z would be spurious (Suppes 1970).”
Causal Pluralism versus Epistemic Causality (2006, background): “In contrast, probabilistic theories (see, e.g. Suppes, 1970) do well at accounting for probabilistic indicators, but poorly when it comes to mechanistic indicators.”
Toward a Unified Theory of Causality (2008, unknown): “Also see Cartwright (1989); Eells (1991); Eells and Sober (1983); Good (1961, 1962); Lewis (2000); Menzies (2004); Pearl (2000); Skyrms (1980); Suppes (1970).”
Information, relevance, and social decisionmaking: some principles and results of decision-theoretic semantics (1999, background): “Next, following Reichenbach [68] and Suppes [ 76 ] grant a”