Sentence examples for posterior estimation from inspiring English sources

Specifically, a maximum a posterior estimation problem which estimates original HR frames with motion blur kernels is introduced into our method.

First, one normalizing parameter ({overline{N}}_k) is estimated by the posterior estimation of new values for ({overline{pi }}_k,{overline{mu }}_k,{overline{{varvec{Sigma }}_k}}).

Recent advancements in Bayesian modeling have allowed for likelihood-free posterior estimation.

The high scale component of effective stress indicates the high stress gradient regions without posterior estimation.

Predictive posterior estimation is discussed, adopting the standard statistical model with diffuse priors of the two normal distribution parameters.

The posterior estimation can be obtained precisely and efficiently with application of SAS program following the appropriate workflow and determination rule which were described in the example.

The posterior estimations of model parameters, visual preference probabilities and inferred satisfaction utility functions were investigated and compared, with results reflecting the different characteristics of the subjects.

In principle, changes in the prior definition of parameters should not alter the posterior estimations.

Every 20th sample is stored from the remaining 20,000 samples, giving a final sample of 1,000 for posterior estimations.

Such prior information can be incorporated in our procedure without restricting its applicability by generalizing maximum likelihood estimation to maximum a-posterior estimation as discussed in the Additional file 1.

Once the best partition is determined, we estimate the reliability of each cluster with a procedure similar to the posterior probability estimation for nodes of a phylogenetic tree under Bayesian monte-carlo analysis [1].