The first one is based on the posterior probability computed by the model and the other is based on the derivative of the ROC function of the model.
Similarly, the existing Bayesian planning criterion is usually based on the posterior variance of a quantile lifetime.
After that we can make predictions based on the posterior distribution over the weights.
Fig. 1 Spatial random effects (left( {U_{i} } right)) based on the posterior mean.
We establish conditions under which the posterior distribution is approximately normal, which in turn implies various good properties of estimation and inference procedures based on the posterior.
We show that the Maximum A Posteriori (MAP) estimator of the genetic distances, corresponding to the maximum likelihood estimator, performs better than estimators based on the posterior expectation.
Bayesian inference is based on the posterior distribution of model parameters, which is not of a known form.
The number of subpopulations (K) was determined based on the posterior probability values (LnP(D) and ΔK).
To predict ℓ we adopt an inference mechanism based on the posterior distribution of a parameter for any given observation traces, X.
The full Bayesian framework for BGS-NMF model based on the posterior distribution of parameters and hyperparameters p Θ,Φ|X) is not analytically tractable.
Both measures are based on the posterior of regression coefficients and cluster labels.
