Sentence examples for conditional assumptions from inspiring English sources
The initial claim is that we can reason non-trivially from impossible suppositions taken as counterfactual conditional assumptions: we assume something impossible as a counterfactual antecedent, and wonder what would be true then.
While the RCTs of individual CBT so far have used treatment models, to the authors' knowledge none has used a formulation-based approach in order to identify and modify idiosyncratic underlying beliefs (conditional assumptions, core beliefs) and compensatory strategies.
People often have convictions that boil down to conditional assumptions of the type "If P, then Q," with a certain stimulus (P) being predictive of a particular outcome (Q), for example "If a dog barks, then he will bite" (see Hawton et al. 1989).
However, matching estimators hinge upon a significant assumption, the Conditional Independence Assumption (CIA), which requires that selection is on observables only.
Another important assumption is the Conditional Independence Assumption (CIA).
Spatial Markov chain models use the full independence assumption and the conditional independence assumption to define the conditional probability for simplifying the complex computation in Eq. (3).
For settings with intermediate confounders, "no omitted influences" is a stronger assumption than the conditional exchangeability assumption invoked in the causal inference literature, since it also involves no L- Y confounding.
This model introduces two conditional independence assumptions.
One option is a consequentialist ethical framework where "assistance [is] conditional on assumptions regarding future outcomes" (Duffield, 2001: 75).
The corresponding DAG, denoted by G j, that incorporates the conditional independence assumptions expressed by Equation (7) is illustrated in Figure 3a.
Classifiers based on Bayesian decision theory are simple, probabilistic classifiers that apply Bayesian decision theory with conditional independence assumptions, providing a simple approach to discriminative classification learning [57].
