Sentence examples for model probability for from inspiring English sources

Then Bayes' Theorem for the posterior model probability for the weights Zeugner [38] is given by pleft {M}_{gamma}Big|y, Xright) = frac{pleft yBig|Mgamma, Xright pleft Mgamma right)}{pleft yBig|Xright)}=frac{pleft yBig|Mgamma, Xright pleft Mgamma right)}{sum_{s=1}^{2^K}pleft(yBig|Ms,Xright)p(Ms)} (14).

(2) Compute the marginal likelihood and posterior model probability for each model considered.

The optimal panel search started with the top 50 SNP markers according to the posterior model probability for having a non-zero effect for this marker, and then increased from the top 100 to the top 3000 markers at an increment of 100 markers each time.

If less restrictive selection criteria were used for including a variable in the model (probability for stepwise entry 0.1 and removal 0.2), the factors needle path through ventilated lung and acute angle of the needle to the surface of the tumor also occur in the models (Table 4) This study is the first one to identify risk factors for the occurrence of an SAE that depend on the biopsy technique.

The results of this computation are probability densities for regression coefficients and posterior model probabilities for the models.

We computed marginal posterior model probabilities for beta, P M1|S), and for normal, P M2|S).

The PIP is the sum of posterior model probability (PMP) for all models wherein the influence was included.

(B ) The prior model probability is 0.5 for all pairwise model comparisons, and 0.25 for the comparison of models 1 4.

BMA algorithms estimate posterior model probabilities, inclusion probabilities for each variable, regression coefficients and their standard deviations.

Based on the derivation model, the probability for having breast cancer in the validation cohort was used to divide subjects into deciles.

(II) Based on the estimated model, probabilities were calculated for each participant.