Sentence examples for the necessary conditional from inspiring English sources

For white noise driven systems, transitions are assumed to be locally Gaussian and the necessary conditional mean values and covariances for only the first time step are obtained from the numerical integration of the differential equations for these quantities in combination with a Gaussian closure scheme.

The necessary conditions for the conditional extremum were determined to constitute a CFD model for the flow pattern construction.

(iii) If we rewrite the MTC to talk about modal conditional truth (i.e., modal truth conditional on executability) rather than modal truth, then both the MTC for necessary conditional truth and the MTC for possible conditional truth are correct; and both can be computed in polynomial time.

One other resource is used, namely, the closure principle which says that the antecedent of a necessary conditional is possible only if the consequent is possible.

Moreover, knockdown of Angptl3 by siRNA failed to change F-actin filament, which may indicate that Angptl3 is not a necessary conditional molecule in maintaining the intricate shape and structure of podocytes.

This time, whenever either the antecedent is impossible or the consequent necessary, the conditional will be true, regardless of whether there is any relevant connection between the two constituent propositions.

The prime minister reiterated his conditional support for a single European currency, stating the unpopular position that if the necessary economic conditions were met, then Britain should join.

Further Reading: Cartwright (2007), Part II; Pearl (1988), Chapter 3; Pearl (2000), Chapter 1; Spirtes, Glymour and Scheines (2000), Chapter 3. The MC states a sufficient condition but not a necessary condition for conditional probabilistic independence.

Therefore, if D* is a measurement of D at time t, then the association between E* and D* (conditional on the necessary covariates) will estimate the effect of E t− Δ t′ on D t for all time intervals Δ t′ > 0. However, information bias is usually smaller for intervals Δ t′ close to Δ t and may be very large for intervals that are much smaller, or much larger, than Δ t.

In most situations, social scientists are not equipped with all the necessary covariates to successfully model the conditional relationships between variables of interest.

However, more discretization levels also require an increase in data size in order to identify all the necessary parameters of the corresponding multinomial conditional probability distributions.