Sentence examples for posterior likelihood from inspiring English sources

Here, based on Bayes theorem, we propose a more direct method in which a posterior likelihood function is used both to construct the steered dynamics and to infer the contribution to equilibrium of all the sampled states.

MaxEnt is a probability-based algorithm that estimates the posterior likelihood distribution of a variable by maximizing the entropy of said probability distribution while maintaining the constraints provided by the training samples [23].

Here, A i denotes the i th column of A and S k denotes the k th column of S. Learning for PMF is equivalent to maximizing the log posterior likelihood ln p ( A, S | X, α, α a, α s ) = ln p ( X | A, S, α ) + ln p ( A | α a ) + ln p ( S | α s ) + C (7). with respect to A and S. In (7), C is a constant.

SSS is a variable selection model which allows the use of model averaging (based on posterior likelihood) for prediction.

The Bayesian approach is applied by counting posterior likelihood ratios or odds ratios for each combination.

The spatial model identified counties with greater than 95% posterior likelihood of elevated SMR for specific childhood cancer histotypes.

For Bayesian analysis, six chains were run for 10,000,000 generations one of which was heated; after a burn-in of 2,500,000 generation every 100th tree was sampled only after posterior likelihoods reached stationary values.

The R function getPosteriors returns the posterior likelihoods of comparisons.

PHLAT then examines the posterior likelihoods of the alleles given the observed data.

baySeq [ 6] is based on estimating posterior likelihoods of differential expression via empirical Bayesian methods, assuming negative binomially distributed data.

Resulting ESS values and overall posterior likelihoods were compared using the software Tracer (Rambaut and Drummond, 2007).