Sentence examples for evaluation of the likelihood from inspiring English sources

Exact(27)

Although there are exact methods for sampling from the posterior (e.g. Markov chain Monte Carlo or acceptance/rejection), these methods tend to be computationally demanding when evaluation of the likelihood function is expensive, as it is for most geoscience applications.

The environmental risk analysis of aquatic systems includes the evaluation of the likelihood that adverse ecological effects may occur as a result of exposure to one or more stressors.

Perceived susceptibility is an individual's evaluation of the likelihood of a negative outcome occurring (Strecher & Rosenstock 1997).

In this study, the Fourier spectrum of the reflected echo is used for the evaluation of the likelihood in Eq. (3).

The evaluation of the likelihood functions requires the inverse of the covariance matrix, which cannot be done if some of the eigenvalues are zero.

The model was originally formulated to include four dimensions that together were thought to comprise motivation for health behavior: Perceived susceptibility is an individual's evaluation of the likelihood of a negative outcome occurring (Strecher & Rosenstock 1997).

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Similar(33)

In the case described here, these possibilities were discarded in the course of an extensive epidemiological investigation and in our testimony in court we simply provided an evaluation on the likelihood of the sequences derived from each patient suspected to have been infected from the presumed source.

These studies could include simulation methods that allow evaluation of the likelihoods of alternative demographical scenarios or a priori selection of sampled individuals based on, e.g., locality or surnames (for review see ref. 1).

Together, these modifications eliminate about a third of the evaluations of the likelihood.

Risk perceptions encompass cognitive evaluations of the likelihood of harm as well as emotional responses.

The optimization approach also provides clear convergence criteria for posterior approximation and facilitates model selection through automatic evaluation of the marginal likelihood.

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