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We implement MaxEnt sampling using population-based MCMC to provide posterior samples used in a nested Monte Carlo integration algorithm.
As a Bayesian extension of the SVM, the RVM can provide posterior probabilistic output for class memberships.
Thus, such methodologies can, in principle, provide posterior estimates for indel dynamics parameters.
Also, most such methods provide posterior probabilities to the inferred events, which could serve as a more natural stringency parameter.
The KBBN model can provide posterior class probabilities as well as information on how the rules were used and how classification decisions were made.
The estbranches/multidivtime programs were then run by the Bayesian MCMC method to provide posterior distributions of divergence times at each internal node.
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Different from batch estimation methods, it provides posterior quantities necessary for full sequential inference and recursive model monitoring.
The DNN provides posterior probabilities for the HMM state j.
The fully Bayesian model averaging approach also provided posterior probability intervals of the balance indices.
The deterministic trend model is adopted, and MCMC iterations 25,000-26,000 are cumulated over the nine models, providing posterior summary statistics (mean, variance, 2.5% percentile, 97.5% percentile) for cross-validatory predicted extents in 2010-11 across the entire Arctic region.
Then, INLA provides posterior distributions of all parameters.
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CEO of Professional Science Editing for Scientists @ prosciediting.com