Sentence examples for predictions as is from inspiring English sources

Thus, and as Satchell and Timmermann (1995) pointed out for the case of nonlinear predictions (as is the case of the NN model), we find that the standard criteria for statistical forecast accuracy do not have a direct mapping onto profitability.

Adding such information improves predictions, as is shown in Additional file 1, in which the inclusion of developmental-specific information consistently improves the accuracy of functional predictions.

The mean change in species' mean state-wide probability of occurrence was also greater for Maxent-based predictions than for GAM-based predictions, as was the number of species whose distributions were predicted to decrease.

These were consistent with the model predictions, as were the lack of seroconversions in the other months.

We expected that the known instances of direct TF cooperativity would tend to coincide with the most statistically significant TACO predictions, as was the case in our previous work based on UW DNase-seq data alone [ 10].

Site-correct filters estimated in this study are indispensable in the scheme of numerical shake prediction, as is shown by Hoshiba and Aoki (2015).

On the C-terminal end of syntaxin, the measured distances also match the prediction, as is seen for measurements between sites 105 and 216.

If a scorer is designed to normalize away these differences by taking into account the density of the spectrum prediction (as is the case for the HGT model), it can benefit from more accurate predictions.

One omitted point in Washington was slightly outside areas of high prediction, as were 3 points in California, so again data precision may come into the picture.

In the present context, it seems advantageous to define prediction as being related to probability and attention as being related to instructional (and possibly even motivational, emotional) relevance (e.g. Summerfield & Egner, 2009; Kok et al., 2012b).

Shying away from horse race predictions, as Gallup is, may only exacerbate the collapse of confidence in the industry.