Sentence examples for prior two models from inspiring English sources

While the consecutive and total number of PZP applications were highly correlated, comparing the AICc between the prior two models suggested that the number of consecutive PZP treatments more accurately predicted month of birth than did the total number of PZP treatments (AICc total = 202.96, AICc consecutive = 196.83).

The comparison of this model against the prior two models (model 2 and 3) suggests that both dominance and cultural transmission make a significant contribution to the variance of loneliness.

For the tree prior, five different models were tested including four coalescence models: constant size, expansion growth, exponential growth, logistic growth and a epidemiology birth death model (Stadler, 2010).

However, model comparison in a Bayesian framework can be achieved by calculating the Bayes Factor (BF), which is the ratio of the marginal likelihoods with respect to the prior of the two models being compared [38].

Model comparison in a Bayesian framework can be achieved, however, by calculating the Bayes Factor (BF), which is the ratio of the marginal likelihoods (marginal with respect to the prior) of the two models being compared [39].

We assign equal prior probabilities to the two models: p(M1) = p(M2) = 1/2.

There was a large increase in total expenditures, drug expenditures, and top/bottom expenditures ratios from model 1 to model 2, and from model 2 to model 3; two models with prior expenditures stayed relatively the same.

Taking the top 0.5% as an example, the overlap of identified top users between two diagnosis-based models was only 0.07% while that between two models including prior expenditures was also not perfect (only 0.36%).

These considerations constrain the model indicator prior by and Averaging over two models for each (i, j) pair, the posterior probability that gene j is the regulator of gene i is.

Prior to 1997 there were essentially two models for selling gameplay.

The variables in the two models were designated prior to study analysis and not selected on the basis of a statistical rule; all of the potential confounding variables were kept in the model regardless of their significance in univariate analysis.