Sentence examples for create a probability from inspiring English sources

When the playing field becomes sufficiently unequal, it can create a probability that incumbents will be returned to office.

Environmental and socio-economic variables dealing with urban sprawl were operationalised to create a probability surface of spatiotemporal states of built-up land use for the years 2006, 2016, and 2026.

The design methodology uses the tools of statistical mechanics to create a probability distribution which relates groupings of agents, called Sharing Groups, to pair-wise agent divergences and social temperature.

In TOF-PET, the time difference between the arrival of the two annihilation photons, is used to create a probability distribution locating the recorded event at distance ∆ from the axis of the tomography (dashed line).

Geographic profiling, a related topic, is a technique used to create a probability density from a set of crimes by a single individual to predict where the individual is likely to live or work [1].

Finally, we provide a simple application example with a predictive regression model for rhabdomyolysis and show how our method can be used to create a probability profile table.

Prosecutors say new evidence creates "a probability that the verdict" in a trial would favor Mr. Ranta.

"Not every campaign contribution by a litigant or attorney creates a probability of bias that requires a judge's recusal, but this is an exceptional case," wrote Justice Anthony Kennedy in the majority opinion, which was joined by Justices John Paul Stevens, David Souter, Ruth Bader Ginsburg and Stephen Breyer.

"It appears that the county court never considered that the cumulative effect of the new evidence created a probability that, had such evidence been received at trial, the verdict would have been more favorable to the defendant," the appellate court said, concluding, "This evidence warrants a new trial".

A common method for creating a probability density is to use Kernel Density Estimation [4, 5], which approximates the true density by a sum of kernel functions.

This created a probability of headache on any particular day among those with headache of 0.34, and a predicted 1-day prevalence of 24.5% (0.34*72%).