Sentence examples for marginal likelihood appears from inspiring English sources

Since W it is missing, maximizing the marginal likelihood appears to be the most natural estimation approach.

Gaussian processes allow marginalizing the latent function to obtain a marginal likelihood.

The likelihood distribution over the training set can be marginalized by integrating the weights to obtain the marginal likelihood.

(The likelihood appears to be that he won't).

Usually the marginal likelihood cannot be computed analytically.

The focus is on two methods of marginal likelihood estimation.

Likelihood based inference for correlated data involves the evaluation of a marginal likelihood integrating out random effects.

In this paper, using knowledge of marginal likelihood and marginal distribution, the optimized strategy of marginal based ontology sparse vector learning algorithm is presented.

For the maximization of the penalized marginal likelihood the EM-algorithm is adapted.

Such poles are seen as hyperparameters which are tuned via marginal likelihood optimization.

The marginal likelihood value is given by summing up the marginal likelihoods over all path activity hypotheses using (32) and (29) (36).