Sentence examples for a function of the likelihood from inspiring English sources

The function the learning machine approximates to after training is obtained, as a function of the likelihood functions and the prior probabilities.

The answer, given by Bayes' Theorem, is that X's probability is a function of the likelihood that the witness would so testify, if the fact X held, and the prior probability of that fact.

The basic idea of Bayesian confirmation theory is that the probability of a hypothesis given some evidence P(h|e) is a function of the likelihood of the evidence e given the truth of the hypothesis P e|h) as well as the prior probability of the hypothesis h and of the evidence itself: P(h|e) = P(h P e|h)/P e).

Dividing the numerator and denominator of the left side of rule (10) by f z|H 0), an equivalent rule can be obtained, which is a function of the likelihood ratio: P ( H 1 ) Λ ( z ) P ( H 1 ) Λ ( z ) + P ( H 0 ) ≷ H 0 H 1 η 0 (11).

Estimated-date-of-infection was defined as a function of the likelihood of the HIV source and timing of sexual contact with the suspected source.

Each gene signature enrichment score was derived as a function of the likelihood of that signature set being among the most highly ranked genes for each tumor phenotype, and enrichment score significance was estimated using 1,000 random permutations of the sample labels in the tumor dataset.

Goodness of fit of the models was evaluated as a function of the log-likelihood of the model with all parameter estimates and the log-likelihood of the model without the set of covariates.

The vulnerability is a function of the susceptibility (the likelihood of being exposed) and the adaptive and coping capacity.

The Fisher information matrix F x) is a function of the second derivation of the likelihood function.

An expected risk or cost function is defined as a function of the decision costs, and the likelihood and prior of each hypothesis.

The maximized likelihood for each model as a function of the change point forms the profile likelihood, and the maximum likelihood across all 19 models determined the best fitting model; the change point associated with that model is the maximum likelihood estimate for the change point that we report (29).