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The Joint Distribution Criterion and the Distance Tests for Selective Probabilistic Causality

2010

A general definition and a criterion (a necessary and sufficient condition) are formulated for an arbitrary set of external factors to selectively influence a corresponding set of random entities (generalized random variables, with values in arbitrary observation spaces), jointly distributed at every treatment (a set of factor values containing precisely one value of each factor). The random entities are selectively influenced by the corresponding factors if and only if the following condition, called the joint distribution criterion, is satisfied : there is a jointly distributed set of random entities, one entity for every value of every factor, such that every subset of this set that corr…

selective influenceComputer scienceGeneralizationlcsh:BF1-990Value (computer science)systems of random variablescomputer.software_genre050105 experimental psychologyCausality (physics)Set (abstract data type)03 medical and health sciences0302 clinical medicineJoint probability distributionHypothesis and TheoryPsychology0501 psychology and cognitive sciencesstochastically unrelatedGeneral PsychologyDiscrete mathematics05 social sciencesProbabilistic logicexternal factorsstochastic dependencejoint distributionlcsh:PsychologyProbabilistic causalitySum of normally distributed random variablesData miningcomputerRandom variable030217 neurology & neurosurgeryFrontiers in Psychology
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