Sentence examples for making strong assumptions from inspiring English sources

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Formal Bayesian approaches are commonly employed for parameter calibration and uncertainty analysis, but are often criticized for making strong assumptions about the nature of model residuals via the likelihood function that may not be well satisfied (or even checked).

Nevertheless, the classical approach of OSI layers separate design, reinforced by the specialization of most researchers on a part of the protocol stack, has led to define frameworks for OMNeT that enter in deep details for given layers, while making strong assumptions for the other ones.

Although some suggest this indicates a greater influence of shared environmental factors [19], this correlation may equally be due to shared genes (assortative mating), so without making strong assumptions as to which is occurring in spouses, this is unlikely to indicate a greater influence of shared environmental factors.

Simply wishing the complexity away by making strong assumptions is no longer appropriate, if it ever was.

In our simulations, we explore this trade-off between considering many possibilities and making strong assumptions.

Compared with other models that can also describe mixture data, two-part models have the advantage of being intuitive and not making strong assumptions on the unknown data generating mechanisms.

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In this paper, we propose a robust association test without making strong assumption about the genetic model.

Interviewers don't make a complete hiring decision in the first few seconds of an interview, but they do make strong assumptions prompted by three factors: how personable you are, how easy you seem to work with, and your initial visual impact.

In fact, CASA does not make strong assumptions about interference.

Spectrum subtraction [4] and subspace analysis [5] proposed for monaural speech enhancement usually make strong assumptions on acoustic interference.

Most existing works have made strong assumptions, such as the fixed object position and monotonous manipulation background, which facilitate the detection of graspable objects.

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