Sentence examples for posterior prediction from inspiring English sources

The proposed posterior prediction probabilities may be used to predict survival functions of subjects from existing clusters.

And then the roughness of the posterior prediction.

(In the language of Bayesian statistics, the model's forecast is the "prior" and the polls update the prior, producing a new "posterior" prediction). The model's forecast comes with uncertainty — no model makes a perfect prediction, obviously — and the polls come with uncertainty too.

This directed connectivity network was examined using Granger causality analysis (GCA) [40], which has been widely used for estimating prior and posterior prediction between BOLD fMRI time series [35], [41] [49].

To close this gap, we present DiriSim, an extended infinite Markov model for LC-MS/MS experiments that yields a posterior prediction of the proteome coverage progression.

If the posterior prediction probability of the residue has been found to be greater 90% for extra/intra-cellular prediction, the residue was assigned as 'nTM'.

The one really nice thing about Gaussian processes is that when you condition on data with posterior predictions of the function values that unobserved points are available in closed form.

This is not the case with our sampling method, which relies on an efficient algorithm to compute exact solutions of our posterior predictions and utility measures.

Moreover, when comparing the posterior model predictions with the prior model (blue square points), significant improvements are observed in the posterior predictions.

The model was used to make posterior predictions for several measures of cancer risk.

The posterior predictions of 4βHC concentration vs. time compared with the observed data are shown in Figure 2g, h.