Sentence examples for using a probability criterion from inspiring English sources
Models M2 and M8 assuming positive selection were not significantly better than the null models M1 and M7 (for M1 vs. M2, 2ΔL = 0.0, P = 1.0; for M7 vs. M8, 2ΔL = 0.0, P = 1.0), and no site was found to be under positive selection by Bayes Empirical Bayes (BEB) inference [ 32] using a probability criterion of 95%.
We used a probability criterion of p≤0.001 at the voxel level and at p≤0.05 corrected for the number of sampled voxels at the cluster level, thereby correcting for multiple comparisons.
Multivariate analysis was performed by forward stepwise selection using a probability of P < 0.05 in the likelihood ratio test as a criterion for inclusion.
Cluster memberships of samples were then obtained in a hard/soft fashion using a maximum probability criterion.
Through stepwise regression of TD samples, only the age of the child and education of parents entered the regression model using a criteria of probability of F entry = 0.05 and removal = 0.10.
This model selection step is a cluster-inference procedure that yields estimates for(τ kj, μ kj,Σ kj, G k ), from which classification of test samples proceeds as before using the maximum probability criterion.
The resulting means of the estimated beta-distributions are denoted by where (3) Further, let denote the set of type2 probes assigned to unmethylated, hemimethylated or fully methylated states (using the maximum probability criterion), and let denote the set of probes with -values smaller (larger) than.
Here, the ellipses were calculated using a relaxed criterion, outlining an area of just 50% probability.
Using a SNP probability of 10-4, these criteria resulted in 278,979 potential SNPs for which we obtained Infinium design scores.
When the parameters of the model can only be specified with ranges of values or by a probability distribution, we use a Bayesian criterion of optimality to construct the required designs.
Bayesian and maximum likelihood analyses of endoPG resulted in two phylogenetic lineages using a 95 posterior probability and 70 bootstrap value criterion [ 66].
