Sentence examples for models defined above from inspiring English sources

Due to the large number of parameters in the regression models defined above, which were merely a technical utility as the objective was to adjust the average costs and effectiveness for possible confounding, we focus on a limited number of parameters of the Bayesian model in the following.

Effect of these genetic factors on phenotypes was taken into account by including them as covariates in the models defined above.

The close agreement between the curves for observed and simulated data supports the choice of the models defined above.

The three models defined above and the corresponding MORs were estimated for each of the six countries separately.

A parameter that plays a crucial role in the existence of oscillations in the models defined above is the quotient of degradation rates Δ = δ A / δ R, with δ A, the activator's degradation rate.

In contrast, by a linear market model we will understand in this paper the version of the model defined above in which all trading adjustments are null (i.e., X k =0 for all (k=1,2, dots, n)), there are no differential funding rates (i.e., Bj,b=Bj,l for all (j=0,1, dots, d)) and no portfolio constraints are imposed.

In principle, the market model defined above exhibits nonlinear features, in the sense that either the portfolio value process (V^{p}(x_{t},p_{t},phi ^{t},mathcal {C}^{t})) is not linear in ((x_{t}, p_{t},phi ^{t},mathcal {C}^{t})) or the class of all self-financing strategies is not a vector space (or, typically, both).

We calculated the posterior probability of VE recruitment P r(R e c j | d i ), where R e c j ∈{+1,−1}, by building upon Bayes' rule and the generic probabilistic model defined above [43]: Pr Rec j | w ( d i ) = Pr w ( d i ) | Rec j Pr ( Rec j ) Pr w ( d i ) = Pr w ( d i ) | Rec j Pr ( Rec j ) ∑ r ∈ Rec Pr w ( d i ) | Rec r Pr ( Rec r ).

The model defined above assumes that the function β (t, τ) describes the "natural history" of infection in each infected individual.

Note that the original n-k landscape proposed by Kauffman et al. is slightly different from the model defined above [2].

We represent the ten most important polycenters defined in the dendrogram of Figure 4, and show the corresponding propensity to anisotropy comparing actual flows with the null model defined above (see Methods).