Sentence examples for returning posterior from inspiring English sources

Genotype calling uncertainty may be accounted for by applying cut-offs on proportion of reads (e.g., calling individuals homozygous for a SNP if >80% of their reads is of a particular allele) or probabilistic methods (returning posterior probabilities of genotypes), which rely on some estimates of error rate and population allele frequency at SNPs (Nielsen et al. 2011).

These discriminant functions finally return posterior probabilities for all possible homology groups, thereby providing confidence estimates for the predictions [ 35].

Second run results returned posterior estimates of mean g being 2.85 (lower and upper values = 0.72 - 4.27) and t b being 9,420 generations before present (3,717 - 18,102).

The returned posterior probability (PP) was used to assign duplication nodes to specific d S distributions with 95% as a cut-off.

These priors returned posteriors of the mutation rate that were similar to the prior for mutation rate.

Now suppose we want to replace this prior by a non-parametric one π*, the density corresponding to distribution function F NP. INLA returns posteriors π(β|Y) under prior π.

The posterior distribution returns a posterior mean estimate of the date for Homer's works of 707 BCE, with 95% confidence intervals (sometimes denoted credible intervals) ranging from 61 BCE to 1351 BCE.

A HME does not restrict the source of the mixture weights p(m| x, θ m ) and as such can be generated from any model that returns posterior component probabilities for the observations.

For the 4 estimates, the gamma prior returns the posterior mean of 1.05 (95% posterior interval [PI] = 1.02 1.10), whereas the normal prior yields the posterior mean of 1.08 (0.96–1.08).

Both prior distributions, normal and gamma, returned comparable posterior medians (represented by dots), but the normal prior returned much wider posterior intervals that cover unrealistic negative risk values.

The output, y (s), defined by the softmax function in Equation 2, returns the posterior probability for each class.