Sentence examples for conditional on the data from inspiring English sources

Exact(17)

In each step, a draw is made of a new value for one parameter, conditional on the data and current values of all the other parameters in the model.

"They've always been conditional on the data".

The most important is that users can make statements about the probability of scientific hypotheses and parameter values conditional on the data observed.

The idea is that one may learn not only that various facts obtain (in which case one conditionalizes the various probability measures on the evidence received), but also that various evidential or inferential relationships hold, which are represented by the conditional probabilities of the hypotheses conditional on the data.

(2013), (hat{f}_{jk}(1|varvec{theta })) can be considered as an estimated unconditional expectation of the item score at (varvec{theta }) and (bar{f}_{jk} y|varvec{theta })) can be considered as an estimated conditional expectation of the item score at (varvec{theta }), conditional on the data.

The actual value was sampled conditional on the data as part of the Gibbs sampler.

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Similar(43)

Many variables that are associated with non-participation in surveys were included in the dataset, which reduces the probability that data missing does depend on unobserved data, conditional on the observed data (see Additional file 1: Table B for description of missing data).

At each iteration, in the first step (E-step), the conditional expectation of the log-likelihood of the complete data is evaluated, where the expectation is taken with respect to the distribution of the missing data conditional on the observed data and the parameters estimated at the previous iteration.

Because the rvTDT is conditional on the parents' data, using parental data in estimating the linear combination does not affect the validity or asymptotic distribution of the rvTDT.

We describe a simple likelihood of the marker data conditional on the trait data for a sample of affected sib pairs, with disease penetrances and disease-SNP haplotype frequencies as parameters.

More precisely, multiple imputations are drawn from a posterior predictive distribution of the missing data conditional on the observed data.

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