Sentence examples for discrete estimate from inspiring English sources

All scoring systems provide a discrete estimate of the class-conditional probability of morbidity risk and consequently poor calibration.

Moreover the use of this type of model implies a discrete estimate of class-conditional probability and subsequently poor calibration.

In Figure  3, we used a non-parametric method formulated by Kalbfleisch and Prentice [ 16] to estimate cause-specific hazard and obtained a discrete estimate of the cumulative incidence function (cumulative risk).

To determine whether the zebra finch and white-throated sparrow TAS2Rs in this cluster exhibited a similar pattern of evolution, we compared a model in which a single ω was estimated for all codons (M0) to a model in which codons were partitioned into three groups, each of which is associated with a discrete estimate of ω (M3).

Different types of the feedback operator to the discrete estimates are analyzed.

A threshold detector is used to convert them into hard symbol decisions, i.e., discrete estimates chosen from the symbol alphabet based on a minimum distance rule.

We trained a separate classifier for each outcome measure (survival >3 months and survival >12 months) because, as a parametric modeling methodology, BBNs are not well suited to provide discrete estimates in time.

Diffusion MRI also allows the three-dimensional trajectories of fiber bundles in the white matter to be reconstructed by piecing together discrete estimates of the underlying continuous fiber-orientation fields, making noninvasive study of brain connectivity possible [36], [37], [38], [39].

Model M0 estimates a single ω parameter for all sites and branches, while model M3 (discrete) estimates three independent ω parameters and the proportion of sites belonging to each ω-class directly from the data.

Although RCTs can provide discrete estimates of effect, the effectiveness of a drug is likely best characterized by the real-life experience provided by observational studies in the general population, independent of industry and reliant on clinical judgment.

We developed two models because Bayesian classifiers are not well suited to provide discrete estimates in time, but rather probabilities of a particular outcome (in this case, survival >3 or >12 months).