Sentence examples for opinion distribution from inspiring English sources

The proposed model is a Bayesian network which connects the objective instrumental measurements to the subjective opinion distribution of human observers.

An alternative approach that is guaranteed to work in theory, assumes that individuals with different opinions share an implicit possible worlds model whose parameters are unknown, but which can be estimated from their predictions of the opinion distribution.

The rapid changes of the opinion distribution with a continuous change of a system parameter, which was previously observed for the model with geometric structure, prove to be present also for much larger class of mutual interaction architectures.

After either τ or τ max has passed, the majority of opinions are in consensus with A, making P ( A ) a good approximation for the final opinion distribution P ( x ) as well.

Its final, steady state is comprised by n c ∼ 1 / ( 2 ϵ T ) isolated opinion groups that arise due to the instability of the initial opinion distribution near the boundaries.

The opinion distributions in the report appear to show a decline in the center and movement toward the poles.

Political scientists Matt Levendusky (University of Pennsylvania) and Jeremy Pope (BYU) have pioneered this approach as an alternative measure of polarization between two opinion distributions.

Where surveys permit the tracking of individual issues over time, the opinion distributions continue to maintain a centrist shape, and the departures tend to show leftward (toward more government services vs. lower taxes) or rightward (toward less role for government in health care and especially aid to minorities) shifts rather than a symmetric shift toward both poles.

Also, to reflect uncertainty regarding point estimates (based on expert opinion), distributions around point estimates can be used.

We investigate the opinions convergence phenomenon over a group of N individuals with a random walk social influence structure, and for any given initial opinions distribution, i.e., the opinions evolution problem with a (time-variant) linear dynamic model driven by random matrices.

Limits of uncertainty were defined with 95% confidence intervals from meta-analysis, the individual dataset, NHS cost ranges, and expert opinion, with distribution shapes chosen according to standard practice (tables 2, 3, 4 ).