Sentence examples for robust inference from inspiring English sources

A nonparametric Bayesian framework is helpful for robust inference without knowing the number of sources.

For robust inference, a semiparametric multivariate approach is proposed to determine the significance of parametric maps.

However, obtaining robust inference of the ongoing dynamics is problematic given that we have observed only a "snapshot" of the dynamic ecosystem.

In [2], it is claimed that robust inference can be obtained only when (B_{10} z_1,z_2,t_1,t_2)) is stable w.r.t.

Finally, as direct consequence of the previous considerations, this analysis culminates in the possibility to derive and implement robust inference algorithms with good performance over the whole class of CES distributions, even if not optimal under any nominal model.

The generalized linear mixed model is used to handle correlated data from repeated measurements on categorical outcomes and provides robust inference with respect to misspecification of within-subject correlation (Breslow and Clayton, 1993).

Because our analysis included many taxa previously not analyzed by any molecular characters, newly inferred and highly supported relationships among taxa allowed robust inferences of ancestral states.

As was the case for genetic inferences (above), each approach for inferring plasticity has strengths and weaknesses, and some allow more robust inferences than do others.

Making robust inferences requires careful attention to method assumptions, especially concerning (re capture probabilities.

Although such descriptive analysis falls short from offering robust inferences than a more systematic empirical investigation would, it nevertheless coincides with the findings of other studies that have addressed the determinants of defence budgets in Latin America (inter alia: Looney and Frederiksen 2000, 1988; Peláez 2007).

A greater number of the species might have permitted more robust inferences of positive selection on the C-terminal domain of PCSK9.