Causal definition

Causal means nothing happens before the kick arrives at t = 0 i.e., g(t < 0) = 0. When t > 0 the general solution of the homogeneous equation is obtained with g = eλt, leading to
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Causal means, in relation to a relationship or basis of allocation, that the allocation base is the most significant trigger of consumption or utilisation of the resources or services represented by the costs or other item that is being allocated.
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Causal means here that K(B, A) = 0 for t < 0. Integrating over a small time interval around t = 0 gives back the initial condition (5.3). We may now take the standard time FOURIER transform and divide by ih¯. The result is identical to eqs. (5.5, 5.6).
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Examples of Causal in a sentence

  • Causal evidence depends on the use of scientific methods to rule out, to the extent possible, alternative explanations for the documented change.

  • Causal evidence documents a relationship between an activity or intervention (including technology) and its intended outcome, including measuring the direction and size of a change, and the extent to which a change may be attributed to the activity orintervention.

  • Causal evidence documents a relationship between an activity or intervention (including technology) and its intended outcome, including measuring the direction and size of a change, and the extent to which a change may be attributed to the activity or intervention.Causal evidence depends on the use of scientific methods to rule out, to the extent possible, alternative explanations for the documented change.

  • Causal agents of cumulative effects can include multiple causes, multiple effects, effects of activities in more than one locale, and recurring events.

  • Experimental and Quasi-Experimental Designs for Generalized Causal Inference.

  • Causal relationship between stressful life events and the onset of major depression.

  • MatchIt: Nonparametric Preprocessing for Parametric Causal Inference.

  • Causal evidence documents a relationship between an activity or intervention (including technology) and its intended outcome, including measuring the direction and size of a change, and the extent to which a change may be attributed to the activity or intervention.

  • The Central Role of the Propensity Score in Observational Studies for Causal Effects.

  • Causal pathways between impulsiveness, cocaine use consequences, and depression.


More Definitions of Causal

Causal in causal ratificationism means that there are constraints on the proper formulation of a decision problem. EDT says it does not matter how we divide the world into states; decision theory should give the same verdict. If we rewrite Newcomb’s Problem with the states being that Demon predicted correctly, and that Demon predicted incorrectly, EDT gives the same recommendation, for essentially the same reason. GDT, like all causal theories, rejects this. The correct formulation of a decision problem requires that the states, like PA and PB, be causally independent of the choices that Chooser makes. I have a fairly strong version of this independence constraint, which I’ll discuss more in Chapter 4.
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Causal means nothing happens before the kick arrives at t = 0 i.e., g(t < 0) = 0. When
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Related to Causal

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